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      Finally, if you are already into AI and have found the above explanations straightforward, here is a good article that explains technically what we’ve done ….

       

      Self-RAG: When AI Questions Its Own Answers

      Edition #243 | 21 January 2025

      Hello!
      Welcome to today’s edition of Business Analytics Review!

      Today’s edition dives deeper into one of the most promising advancements in making AI truly dependable: Self-RAG: When AI Questions Its Own Answers. We’ll unpack this framework in greater detail, exploring its mechanics, real advantages, practical examples from industry settings, and why it’s becoming essential for analytics-driven decisions. As always, I’ll keep things conversational, blend in some technical depth with relatable insights, and guide you through it step by step.


      Understanding Self-RAG: The Core Idea and Evolution from Traditional RAG

      Self-RAG, short for Self-Reflective Retrieval-Augmented Generation, builds directly on the classic Retrieval-Augmented Generation (RAG) approach. Traditional RAG pulls relevant documents from an external knowledge base every time a query comes in, then feeds them to the language model to generate a grounded response. This reduces hallucinations compared to pure LLMs, but it has limitations: it always retrieves a fixed number of passages (even when unnecessary), sometimes grabs irrelevant info, and doesn’t critically evaluate what it retrieves or generates.

      Self-RAG, introduced in the 2023 paper by Akari Asai and team (”Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection”), flips this script. It trains a single language model to adaptively decide whether retrieval is needed at all, reflect on retrieved content for relevance and support, and critique its own draft outputs before finalizing. The model uses special reflection tokens like RETRIEVE, IS_RELEVANT, SUPPORTS, or IS_USEFUL to signal these decisions during generation.

      Think of it as giving the AI an internal quality assurance team: it pauses mid-thought to ask, “Do I really need fresh data here?” or “Does this fact check out against what I just pulled?” This self-reflection loop makes responses more factual, concise, and tailored especially valuable in fast-moving fields like business analytics where outdated or unverified insights can lead to poor decisions.


      Breaking Down the Self-RAG Workflow: Step-by-Step Mechanics

      To make this concrete, here’s how Self-RAG typically operates in practice:

      1. Adaptive Retrieval Decision — For each segment (often sentence-level) of the response, the model predicts a reflection token like RETRIEVE. If the query is something the model knows confidently (e.g., basic definitions), it skips retrieval to save compute and time. If uncertainty arises, it triggers a search.
      2. Retrieval and Relevance Critique — Once passages are fetched, the model generates tokens like IS_RELEVANT or IS_SUPPORTED to score them. Irrelevant chunks get discarded, ensuring only high-quality evidence influences the output.
      3. Generation with Self-Critique — The model drafts candidate responses and uses critique tokens (e.g., SUPPORTS for factual grounding, USEFUL for overall utility) to evaluate them. It can even regenerate or select the best candidate iteratively until satisfied.
      4. Final Output Selection — The highest-scoring, most grounded segment wins. This creates a feedback mechanism where the model learns to be more precise over time.

      In experiments from the original paper, Self-RAG outperformed standard RAG and even strong models like retrieval-augmented ChatGPT on tasks involving reasoning, fact verification, and long-form generation. It achieved higher factuality (fewer unsupported claims) while being more efficient no blind over-retrieval.


      Real-World Impact and Industry Examples in Business Analytics

      Why does this matter for analytics professionals and businesses? Self-RAG shines in scenarios demanding high accuracy and up-to-date knowledge without constant manual intervention.

      Consider a financial analytics team forecasting trends: In a volatile market, the AI might retrieve recent SEC filings or news only when needed, then self-check if the data supports claims about revenue shifts. This reduces risky hallucinations in reports.

      In retail or e-commerce, Self-RAG-powered tools can analyze customer behavior data alongside current market reports. One reported benefit in similar advanced RAG setups (like those at companies automating fraud analytics) is saving hours per report by generating accurate summaries with verified sources imagine cutting 3-4 hours off routine analytical tasks.

      For enterprise knowledge assistants handling proprietary data, Self-RAG enables offline or edge-device use while maintaining reliability in regulated sectors like finance or healthcare. It supports audit-ready traceability: every claim links back to critiqued evidence.

      Anecdotally, teams building internal chatbots find Self-RAG reduces follow-up questions from users because answers feel more trustworthy and complete. In one case inspired by industry patterns, a marketing analytics dashboard using reflective mechanisms spotted emerging consumer shifts faster, leading to timely campaign adjustments and measurable ROI gains.

      Overall, Self-RAG delivers measurable improvements: better factual accuracy, lower hallucination rates, cost savings from efficient retrieval, and stronger alignment with compliance needs in 2026’s AI landscape.


      Recommended Reads

      • A comprehensive guide with step-by-step LangGraph implementation, showing how Self-RAG adds iterative reasoning and self-evaluation to traditional RAG pipelines. Check it out
      • Explores Self-RAG mechanisms like reflection tokens, adaptive retrieval, and candidate critique, with practical LangChain examples and comparisons to standard approaches. Check it out
      • Breaks down Self-RAG as an intelligent system that knows when to double-check, with details on on-demand retrieval, self-reflection, and advantages in factual accuracy for real applications. Check it out
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        A Call to Action: turn your experience into a living knowledge base

        Many alumni carry lessons that never made it into a formal report: the workaround that kept a programme running, the early warning signal everyone missed, the staff-security choice that felt impossible at the time, the coordination habit that quietly saved weeks.

        The problem is obvious: when people move on, that institutional knowledge goes with them. And in our world, that’s more than just a shame.

        So the idea is to extend our AI-based research assistant Eglantyne to include a new, high-value source type: Practitioner Experience Notes, written by alumni. These won’t be news and they won’t be generic theory. They’ll be first-hand, field-smart reflections — indexed, searchable, and (when relevant) prioritised in answers. Answers that we will make available through our AI Research Assistant tool to anyone that asks; we want to share knowledge, not keep it to ourselves.

        This is a genuine ‘many small contributions become something powerful’ project. If even a fraction of our alumni write a few pieces, we can build a resource that helps colleagues for years.

        What we’re asking you to write

        A Practitioner Experience Note is a short article based on your experience. Think: ‘Here’s what happened, here’s what we did, here’s what I wish someone had told me beforehand.’

        We’re looking for notes on topics like this – not pretending this list is in any way exhaustive:

        • Early warning & famine: signals, thresholds, politics of declaring, data quality, community insights vs dashboards
          Example: Early warning systems for famine in Africa (1970s–80s): what we got right, what we didn’t.
        • Negotiation & access: working with authorities, non-state actors, red lines, humanitarian principles in practice
        • Working with communities: feedback mechanisms, safeguarding, trust rebuilding after harm, accountability under stress
        • Coordination realities: cluster meetings, duplication, info-sharing culture, how to make coordination useful rather than performative
        • Staff security: decision-making under pressure; travel/compound rules; local partner risk; kidnaps/armed groups; comms blackouts
          Example: Staff security decisions during the Rwanda crisis: what actually worked.
        • Supply chain & logistics: last-mile delivery, customs, cold chain, local procurement pitfalls
        • Programme quality: rapid assessments, MEAL under constraints, adapting interventions mid-response
        • Leadership & teams: managing mixed teams, burnout, duty of care, hard personnel calls
        • Advocacy & media: speaking up safely, comms during conflict, protecting staff/partners while influencing change

        If you’re not sure whether your idea ‘counts’, it probably does.

        Suggested length

        To make this easy to contribute to and easy to use:

        • Ideal length: 800–1,500 words (this size is the ‘sweet spot’ for current AI technology behind the scenes)
        • Short is fine: 400–800 words (‘one lesson, one story’)
        • Longer is welcome when needed: up to 2,500 words if it genuinely benefits from depth

        Some of you might already have even longer articles, or feel that the topics involved are so complex they require long articles. That’s fine.  Please discuss with me and we will figure a way.

        This is not meant to be academic. Clarity beats polish.

        A simple recommended structure (so it’s easy to read and search)

        You can follow this template loosely if you wish, but don’t feel constrained:

        1. Title (clear and specific)
        2. Where/when (country/region + approximate dates or period)
        3. Context in 5 lines (what was happening; what your role was)
        4. The problem (what made it hard/urgent/uncertain)
        5. What we did (decisions, actions, approaches)
        6. What worked / what didn’t (be honest — that’s the value)
        7. Lessons learned (3–7 bullet points is perfect)
        8. Watch-outs (risks, unintended consequences, red flags)
        9. If I had to do it again… (practical advice)
        1. Keywords (10–20 terms you’d want someone to search)

        If you prefer a narrative style, that’s fine too — the key is that it ends with practical takeaways.

        Sensible boundaries (important)

        We want this to be useful and safe so the obvious guidelines given we are sharing this openly:

        • No names or identifying details of individuals at risk (staff, partners, community members)
        • Avoid operational specifics that could compromise security (routes, timings, sensitive methods, etc.)
        • If you’re unsure, write it as if it might be widely read and we’ll help with light redaction if needed
        • You can include ‘what happened’ without revealing ‘how to replicate it’

        How it will work (high level)

        We’ll provide a simple submission form where you can:

        • select canonical country/countries and themes
        • add start/end dates (even approximate)
        • add keywords
        • upload your article (Word/PDF — whatever’s easiest)

        On our side, the system will index these as Practitioner Experience Notes. When someone asks Eglantyne a question, these notes will be treated as high-weight sources — not because they’re ‘more true’ than everything else, but because first-hand field learning is often the missing ingredient in generic summaries.

        Also: the number of Practitioner Experience Notes pulled into any one answer will be small — often 1–5, rarely more — so each note can genuinely matter.

        Your article will appear in ‘public domain’ searches where appropriate as a cited source.  Because of GDPR, authorship will be defined as follows:

        • If the search is being made by alumni, your name can be displayed, or you can stay anonymous if you wish.
        • If the search is being made by public, authorship will be ‘Save the Children Alumni Association’. If we don’t do that and published names, we would need to go into a much more formal tier of legal compliance that we want to avoid if possible.

        What to write first (if you want a prompt)

        If you’d like a starting point, pick one:

        • A decision I got right (and why).
        • A decision I got wrong (and what I learned).
        • The early warning sign we missed.
        • The one coordination habit that changed everything.
        • A security rule that sounded bureaucratic until it wasn’t.
        • How to work effectively with [X] stakeholder in [Y] context.
        • Three things I wish new arrivals knew in week one.

        FAQs

        • I worked for Save the Children for 10 years – how many Practitioner Notes can I write? As many as you like.
        • I was working for another NGO when I learned some really important lessons. Can I write about that experience? Yes, but please use discretion and make explicitly clear this was not a Save the Children programme
        • Is this field work only? I specialised in Grant funding in Finance and think I learned a lot that would be useful to pass on. Yes, we are expecting the majority of articles to be field based, but there are no restrictions at all. Please write and submit.

        If you’re in: reply ‘Yes – I’ll write one/some (and a rough topic. Don’t worry if someone else is writing a similar topic; the similarities and differences will be really valuable information.)

        And if you’d rather talk it through before writing: also fine.

        Pete

        • This reply was modified 1 month, 3 weeks ago by Pete SmithPete Smith.
        Site AdminSite Admin
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          Example Question and Response

          Below I’ve copied and pasted a ‘model’ question and answer from Eglantyne. It is by no means perfect – the really interesting question is how could we make it better. I’ll address that in the ‘Call to Action’ reply below.

          By all means go to Eglantyne on this site and try your own question!

          You:
          Can you provide a comprehensive analysis comparing the work of Save the Children in Sudan with that of MSF in Gaza these last 2 months. I’d like maybe 2000 words with as much information as you can assess.

          Eglantyne:

          Summary

          Over the last two months, Save the Children in Sudan and Médecins Sans Frontières (MSF) in Gaza have been operating under extremely challenging conditions, responding to two of the most severe humanitarian crises globally. Save the Children’s work in Sudan focuses on addressing the consequences of prolonged conflict, with a massive scale of child displacement, acute food insecurity, attacks on healthcare, and a severe education crisis. Their integrated approach includes mobile health clinics, nutrition, child protection, and education services reaching over a million people, including hundreds of thousands of children.

          In Gaza, MSF’s operations are critically constrained by Israeli restrictions, including new registration rules threatening their ability to deliver aid. The humanitarian situation is dire, with children facing life-threatening cold amid winter storms, severe hunger, and blocked aid flows. MSF has repeatedly warned of child deaths due to cold and lack of medical supplies, while the blockade and administrative barriers severely limit humanitarian access and response capacity.

          Key Findings

            • Scope and scale of humanitarian response: Save the Children in Sudan has reached over 1.3 million people, including 715,000 children, through a comprehensive package of services such as mobile health clinics (117 teams), nutrition, water, sanitation and hygiene (WASH), child protection, education, and livelihoods support. They have supported over 45,000 children in formal education and 37,000 in non-formal education programs, reflecting a broad multisectoral approach to the crisis [E3][E5].
            • In Gaza, MSF’s activities are primarily focused on emergency medical care and addressing acute health needs exacerbated by the blockade and conflict. Their operations include treatment of malnutrition, trauma care, and urgent response to cold-related illnesses among children during winter storms. However, their ability to operate is severely hampered by Israeli-imposed restrictions on NGO registration and aid imports [A1][A2][A4].
            • Child protection and displacement: Sudan faces one of the world’s largest child displacement crises, with over 6.5 million children uprooted since April 2023, including one child forced to flee every 10 seconds. More than half of the displaced population are children, with approximately 2.8 million under five years old. Save the Children’s work includes protection services for these vulnerable children, addressing risks of violence, exploitation, and family separation [E1][E3].
            • In Gaza, children are suffering from the compounded effects of conflict, blockade, and harsh winter conditions. MSF has reported child deaths due to cold exposure amid inadequate shelter and heating, with the blockade severely limiting humanitarian aid deliveries. The protection environment is deteriorating as access to essential services becomes increasingly restricted [A5][A7][A10].
            • Health challenges and medical access: In Sudan, attacks on healthcare facilities have intensified, with nearly 1,000 people killed in at least 38 incidents targeting hospitals, ambulances, and medical convoys in the first half of 2025—tripling from the previous year. This has severely disrupted health services, including vaccination campaigns. MSF has highlighted a surge in measles cases in Darfur due to delayed vaccine deliveries, exacerbating child morbidity and mortality risks [A3][A9][E2].
            • MSF in Gaza faces critical shortages of medical supplies and personnel due to Israeli restrictions. The organization has warned that new registration rules threaten the continuity of their operations, risking the collapse of vital medical services. The blockade has led to severe shortages of medicines and equipment, directly impacting the treatment of malnutrition, trauma, and winter-related illnesses among children [A2][A4][A8].
            • Food security and nutrition: Sudan’s conflict has disrupted farming and food production, putting nearly half of the country’s children at risk of hunger. Save the Children provides nutrition support alongside health and livelihoods programs to mitigate this crisis. Despite ongoing efforts, malnutrition rates remain high, compounded by displacement and limited access to food [E6][E8].
            • In Gaza, Save the Children reports that four out of five children are expected to face catastrophic levels of hunger in 2026. MSF’s medical teams are treating severe malnutrition cases, but the blockade and aid restrictions severely limit food and nutrition assistance. The winter season has further aggravated the situation, increasing vulnerability to illness and death among malnourished children [A6][A5].
            • Education and psychosocial support: Sudan’s education system is in crisis, with over three-quarters of school-age children out of school due to conflict and displacement. Save the Children supports tens of thousands of children with formal and non-formal education, alongside psychosocial support to address trauma and mental health needs [E7][E5].
            • In Gaza, education and psychosocial support are severely disrupted by ongoing conflict and blockade. While MSF’s primary focus is medical, the deteriorating humanitarian conditions contribute to widespread trauma among children, with limited access to protective and educational services [A1][A5].
            • Logistical and operational challenges: Save the Children in Sudan has managed significant logistics achievements, including delivering 40 metric tonnes of medical supplies in November 2025—the largest NGO consignment since March—enabling sustained support to hundreds of health facilities, including in hard-to-reach areas [E4].
            • Conversely, MSF in Gaza is facing existential operational risks due to Israeli-imposed NGO registration rules requiring detailed staff data, which MSF and other agencies warn breach data protection and endanger personnel. This has led to warnings of potential suspension or severe limitation of their humanitarian activities, threatening the delivery of life-saving aid [A2][A4][A8][E9].
            • Advocacy and humanitarian access: Both organizations have engaged in strong advocacy. Save the Children highlights the scale of child displacement and attacks on healthcare in Sudan, calling for protection of civilians and unimpeded humanitarian access [E1][E2].
            • MSF has repeatedly urged Israel to allow critical aid into Gaza, emphasizing the risk of child deaths from cold and hunger due to the blockade and administrative restrictions. They have publicly condemned the new NGO registration rules as a threat to humanitarian principles and the lives of vulnerable populations [A1][A5][A7][A8].

          Limitations and uncertainties

          • The SCUK Alumni archive provides detailed recent updates on MSF’s challenges in Gaza and some aspects of Sudan’s crisis but lacks direct reporting on Save the Children’s Sudan operations; external sources supplement this gap.
          • Data on the precise scale of child mortality and morbidity in both contexts is limited by access constraints and rapidly evolving conditions, particularly in Gaza due to the blockade and in Sudan due to conflict and insecurity.
          • The impact of Israeli NGO registration rules on MSF’s Gaza operations is ongoing and subject to change, with potential shifts in operational capacity difficult to predict.
          • Sudan’s conflict dynamics and humanitarian access are fluid, with risks of sudden escalations or improvements that could alter the humanitarian landscape and response effectiveness.

          Sources in our archive:

          External sources (outside our archive):

          Further reading (external sources consulted but not directly quoted):

          • This reply was modified 3 months, 2 weeks ago by Site AdminSite Admin.
          • This reply was modified 1 month, 3 weeks ago by Pete SmithPete Smith.
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            AI – Magic or Science?

            With such a diverse audience as our alumni, it’s always tricky deciding how much detail to put into articles. Here is some further detail if you are interested in what’s behind AI,  but by all means skip down to the actual example I’ve put in the next reply.

            What actually is AI?

            All forms of AI rest on two core elements

            • The work of a wondrously obscure 18th century British mathematician Thomas Bayes (1701-1761), who had a profound insight on probability theory giving us what we now call Bayesian stats. His obscurity was hard-earned by publishing exactly zero papers in his lifetime. Impressive for someone who is shaping the 21st century.
            • And secondly, AI needs an almighty amount of computing power. Huge data farms that can process in parallel the vast amounts of data required to make Mr Bayes’s sums work. Techs call these computing centres ‘neural networks’, the rest of humanity tend to struggle in disbelief, ‘How much did you say they cost?’

            What are Bayesian stats – how different is it to what I did at school ?

            It’s a slightly different and many people argue very intuitive way of looking at stats. As so often, it’s best to describe with an example:

            Step 1  – I toss a coin twice and it’s heads both times. What are the odds when I toss the coin a third time?

            Most people would say ’50:50’ as the coin has no memory of what has occurred before.

            Step 2 – I continue the experiment and toss the coin a further 18 times. It’s heads each time. What are the odds when I go to toss the coin a 21st time?

            Traditionally, statisticians would say ’50:50’ because the coin still doesn’t have a memory. Quite a few people might though say ‘Hang on, something’s up here, I reckon that coin is fixed.’

            And that is the application of Bayesian statistics.

            With more data, an eventuality that was so unlikely after 2 coin tosses that the scenario wasn’t even worth a mention becomes the most probable explanation of the events.

            Thomas Bayes wrote down a simple formula to calculate this. He seized on what might seem an obvious point – if the coin was fixed after 20 throws, it was obviously fixed after 1, it’s just we had no evidence. So there WAS a probability of the coin being fixed at the start, it’s just that it was perhaps a million to one, and wasn’t worth mentioning. With each toss of the coin though, those million to one odds drop sharply, to the point where after 20 tosses (or before) it’s actually more likely that the coin is fake than a true coin is returning all those heads.

            The formula Thomas Bayes worked out to do this is in fact very simple – a lot easier than those various distribution curves you might have suffered with. You’d expect now a 15 or 16 year old to do the calculation as part of their schoolwork fairly easily.

            And why does this matter? Because the formula can be put into a computer program, and then with enough data we can move away from the idea that computers are binary ‘yes/no’ to a world where they think in terms of probabilities. And that is so important, as it enables pattern recognition –  whether its written words, images or voices.

            AI is essentially pattern recognition on steroids. It answers questions not by knowledge, but by finding similar patterns of words in the truly vast amount of text it has access to.

            How does that tie to the types of AI?

            One day, there might be one thing called AI, though if there is we’ll probably call it AGI (Artificial General Intelligence) if we get there.

            Until then, most of what we call AI today falls into three broad buckets:

            1) Predictive AI (the quiet kind)
            This is the AI that’s been around for years inside many organisations: spotting patterns in data and making predictions. For example, forecasting demand, flagging anomalies, or helping prioritise risk. You often don’t ‘chat’ to it — it runs in the background. Pattern recognition is about probability, which is where our friend Thomas comes in.

            2) Generative AI (the chatty kind — GPT and friends)
            This is what people mean when they say ChatGPT. It can write, summarise, translate, draft emails, and help you think through problems. It’s powerful, but it can also sound confident while being spectacularly wrong if it’s not carefully grounded in real sources. It doesn’t actually ‘understand’ very much at all. It has though read more or less everything humans have ever written (technically that’s called a Large Language Model, or LLM), and is really good at putting together sentences that appear to make sense. It does this by spotting pattens in sentences it’s read compared to what you’ve asked … which is of course just a probability problem involving huge amounts of data. Mr Bayes and those expensive neural networks again.

            3) Specialist AI (the superhuman-at-one-thing kind)
            These are systems designed to excel at a specific task with clear rules and feedback — like chess. That’s why AI chess engines can be astonishingly strong, while a general chat system like ChatGPT will struggle if you ask it to play.

            But while chess has a fairly narrow set of rules, literally month on month the boundaries are being pushed. Google’s DeepThink is trained to solve mathematical problems. It can now (early 2026) compete at elite IMO (International Mathematical Olympiad) gold-medal level – that’s roughly equivalent to the top 50 18-year-old maths humans on the planet. A year ago, it couldn’t compete with the top 5,000. It’s quite possible that within a year, it will out-perform all humans that have ever lived in Algebra (admittedly, the easiest of the seven major mathematical disciplines, though it didn’t feel like that at school).

            Could this form of AI find a cure for cancer? Yes, and many people wish everyone would just focus on that and stop all the rest of the hype.

            How do they do this? The answer now should be obvious. It’s Bayesian stats with more computer power than even Turin ever dreamed of. And yes, he did dream of AI – in many senses this belongs to him at least as much as it does to Mr Bayes.

            The key takeaway: AI today isn’t one thing. It’s a family of tools. It works by a combination of the application of a clever insight into probability that identities that potential factors change their importance when you consider more data, together with a ridiculous amount of computing power.

             

            • This reply was modified 3 months, 2 weeks ago by Site AdminSite Admin.
            • This reply was modified 3 months, 2 weeks ago by Site AdminSite Admin.
            in reply to: Jamie Campbell RIP #19238
            Site AdminSite Admin
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              Christine
              The easiest way is directly via the main SC website. This link will take you straight to the one-off donations page.
              https://www.savethechildren.org.uk/donate/single/donation-single-00001

              in reply to: Somalia 1993 through to 1999 #19227
              Site AdminSite Admin
              Keymaster

                Hi Paul. I moved your post to this thread. The other thread is really for births, marriages and deaths.
                Welcome to the board.
                In terms of virtual networking, that is one of the prime objectives of the Alumni association and you are very welcome to use all the facilities here.
                I’m sure Mike will respond to your post in due course (he reads new posts frequently) and if you want you can have an open discussion on these boards. Or you can be more proactive and use the Private Messaging function to write private messages to those specific people. The good thing about pm is that it is up to each individual to decide whether they want to share info such as private email addresses, phone numbers etc. You can chat in pm to people entirely privately… not even I as Site Admin will know what is going on.
                If online isn’t for you, you’ll see from the recent newsletter there are several opportunities to network with that group of people – perhaps the evening of the 8th at the conference mentioned in Mike’s article at the LSE. Tickets for that are available from the 1st April. Or less formally, the PartyInThe Park is coming soon.! Just realised you are in Kenya though, so suspect virtual networking will be best for you. Perhaps you can follow the conference on-line with the stream on 8th and 9th?

                in reply to: SC calendar #19206
                Site AdminSite Admin
                Keymaster

                  Hi there

                  Two useful files from the Centenary team at SC:

                  * A calendar of events that have been arranged
                  * A flyer for branch volunteers. Some of that might be relevant to some alumni.

                  SC-Centenary-Volunteers.pdfSC-Centenary-events-calendar.pdf

                  in reply to: Advice wanted – dubious news sites #19190
                  Site AdminSite Admin
                  Keymaster

                    @Bill Tod said:
                    Interesting. This week I also got a Breibart story on my newsfeed on my phone. I didnt read it, and opted not to receive any more stories from the site, for the reasons you give. So my response to your question, don’t block the feed but allow individual readers to decide whether they want to read a Breibart story or not.  

                    That’s sort of my instinct and what I will do short term for sure, but it will become a worry if it grows as I fear it will. I can’t help but think Breitbart know ‘liberals’ will react like this and are exploiting what they see as our ‘weakness’.

                    in reply to: 300 not out #19168
                    Site AdminSite Admin
                    Keymaster

                      Well over 250 now – same messages as above; pass on our details to other alumni you know, use the PM facility to contact old friends privately if you wish, and post in public from time to time to stay in touch …

                      in reply to: Say hello #19153
                      Site AdminSite Admin
                      Keymaster

                        Hi Nick
                        The 3 people you named have been invited by Leonie and did receive the newsletter as well. The process was we found about 700 email addresses that the Steering Group had (mainly Leonie of course) and that was our base invitation list. However, people will need ‘prompting’ to join so by all means reach out to them, and anyone else you know. We will also shortly be advertising our existence on LinkedIn and FB, to reach as many alumni as possible.
                        The actual number of alumni of SC UK is according to LinkedIn 20,000 people! We’ve done some sums and think that number is overstated, but we are fairly sure there’s well over 10,000 alumni out there somewhere. I met a nurse who was with us in the 1960s in Vietnam only last week.
                        We realise not everyone will want to join, and the majority of members will become ‘sleepers’ who read the newsletter but rarely if ever come to the site. We are hoping though to get sufficiently large that this site has an active discussion forum, and that there are a few new posts on here everyday – that’s key to sustainability. The newsfeed on the Welcome page is we hope one attraction to bring people back; it really is quite interesting to review it over time and see how various topics hit the news feeds.
                        Any ideas to either make the site more interesting, or to reach out to more Alumni, gratefully received.
                        Cheers
                        Pete

                        in reply to: Say hello #19140
                        Site AdminSite Admin
                        Keymaster

                          Hi there. Taking Pete’s lead, I am the Site Admin – the Stig of this forum, if you follow Top Gear! Please PM me with ALL your comments on the board, especially problems. That isn’t to say you shouldn’t start discussion threads about the board and ideas to improve it; the more the merrier. But if you have a specific issue, best to PM me directly to make sure I know about it and can help you. Screen shots are always good if something is going wrong; you can attach them to a PM. Cheers!

                          in reply to: Welcome to this board – please read this first #19137
                          Site AdminSite Admin
                          Keymaster

                            Using a Smartphone? If not, you can skip this.

                            The first and most important point is that the Alumni application DOES we believe work on all mobile platforms. Some of them are a bit fiddly though, hence the advice to start your usage on a desktop/laptop if you can. Once you know where things are, it’s easier to find them!

                            In terms of providing detailed instructions, the Apple and Android platforms behave a little differently. They both use the same icon though for menus like the one attached underneath.

                            Broadly, the Android platform uses icons similar to the desktop/laptop version, but without the useful ‘hover’ feature that helps you work out what they are.
                            The Apple platforms use a combination of icons (usually above a post) and labelled buttons (usually below a post).

                            If you are working on a smartphone, when you are in a topic, you can reply to any post in that topic. The forum will show you five things you are allowed to do to any given post:
                            1) You can thank the author for their post (the tick icon or the word ‘thank’)
                            2) You can PM the author of the post (the envelope icon or the word ‘private’)
                            3) You can quote the message in your reply (the quote mark icon or the word ‘quote’)
                            4) You can flag the post as inappropriate (the flag icon or the word ‘flag’). Site Admin will then decide whether to delete/amend the post.
                            5) You can simply reply (the plus sign icon or the word ‘reply’)

                            Once you are writing your post (ie you took either options 2 or 4 above) there are five further options you have, shown as options below the reply box.
                            a) You can add smileys (the smiley icon on the left or the word smiley)
                            b) You can add attachments (the paperclip icon on the left or the word attachment)
                            c) You can review your post (the first icon on the right or the word preview). This is useful if you are ether quoting or have used a smiley so you can see your post looks ok
                            d) You can delete your post (the X icon middle on the right or the word delete) if you’ve changed your mind
                            e) You can send your post (the disk icon on the far right or the word ‘reply’. This is confusingly the standard icon for saving,)

                            You can definitely use this site effectively on smartphones, though most people find the desktop/laptop version easier, certainly at the beginning. The behaviour of the forum on each type of device is a little different, so it is hard to write definitive clear instructions. If you are having problems that you can’t work out, please contact Site Admin for assistance.

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                            in reply to: Welcome to this board – please read this first #19136
                            Site AdminSite Admin
                            Keymaster

                              Basic navigation advice

                              Here is some information to help you get about:

                              it is intended that this forum, the General Discussion, will have the highest volume of posts. There is no need to be shy about posting here! Let everyone know who you are. One of the best ways to do that is to add your picture The easiest way to do that is to click the top left of the screen where it says you are logged in. Click on the avatar showing and it will bring up your profile. If you click the pic you should be able to replace it with one of your choice.

                              The following advice applies to all users. If you will primarily be accessing the site by Smartphone, you will need to additionally read the third post here on Smartphone usage.

                              Note that spell checking on your posts is provided by links behind the scenes to your browser options. If you have spell-check turned on in your browser eg Chrome, Safari, IE etc regardless of device, it will we believe work here. We recommend this approach. If you have no browser spell-check, you won’t have it here either.

                              If you are an experienced internet forum user:

                              • You won’t need much guidance because this forum works broadly as most others
                              • We have removed all social media links on purpose; this is a private site
                              • Add new topics and reply to posts as standard
                              • There is an upload facility (attachments), a quote function and a good search function where you’d expect. You can also print topics and posts, you can add attachments to posts, and you can edit/delete your own posts. You can thank other alumni for writing good posts.
                              • There is a strong membership function; you can view the list of all members, whenever you see a member name you can click on their profile. Whenever you see the envelope icon you can start a PM. You can PM one or more people at a time.

                              Alternatively, if you are new to internet forums

                              • There isn’t a rule book and it takes a little time to get the hang of this. Once you do, it’s easy.
                              • There is no problem about making mistakes. If you post something in error, you can delete it straight away. There are several icons on the top right of any post you make. If you hover over them, one enables you to delete your post, and one enables you to edit it.
                              • You are advised to start on a Windows or Mac desktop/laptop rather than a smartphone. The reason for this is that there are quite a few options involved. On the desktop/laptop version you can ‘hover’ your mouse over any icon and it will tell you what it does eg ‘Preview’, so you can learn easily. Whilst we are pleased to say that the smartphone version is, we believe, fully functional on ANY device (we have tested Samsung Androids and all the major Apple i-devices), it can be a little fiddly. There is a separate post below on this that you should read.
                              • When making a post, the first thing you need to decide is whether what you want to say is a new topic, or is a reply to an existing one. Use your common sense. If someone else has just started a ‘Did you just see the idiot on Question Time?’ thread, just add your comment to it by replying directly to the thread.
                              • After you have typed your post, you have a number of options which are set out underneath. On the left you can see you can add smileys if you want to. That works fine READING your post, but it will make your post look a little odd to you when you WRITE it. Don’t worry about that. If you want to check your post before you submit, one of the buttons on the right is a PREVIEW button; this shows how your post will appear to anyone reading the thread.
                              • Another important option is to add attachments (that’s on the bottom left). It’s a two-step operation; you select your file, then you upload it.
                              • There is also a great feature called Quote. If you Quote someone else’s post, it brings it into your post with the original author name. As you get used to this, you will find you can edit the Quote if you only want one sentence out of a full post. Try and have a go at this.
                              • If someone has written a good post, you can thank them (the closest action we are allowing compared to a Facebook ‘like’!)
                              • You can always see who someone is by clicking their icon; it pulls up their profile.
                              • If you want to see who everyone is, click Members towards the top of the forum.
                              • You can send a message to any other member by the Private Message (PM) function. Look for the ‘envelope’ icon beside their name. No one else sees the content of your message, hence ‘private’ – it’s always called a PM. When you send a PM, the person (or people) will receive an email to say they have a PM from you. They can just click through to read it when they want. It’s NOT posted on a forum for all to see.

                              That’s enough to get you going but the most important points for new forum users are the first two. Try it and see. For instance, there are 3 ‘A’ signs at the top right of your forum page. Try them out! And if you hate this colour scheme, go down to the bottom where it says ‘Theme’ and try others. This changes it for you only. You will get the hang of the site with a bit of practice.

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