Bibliographic record
Abstract
Acknowledgements 1. Social, political, economic and operational context of the 2012 London Olympic and Paralympic Games: An introduction - Vassil Girginov Part One: Bidding for the Games 2. From 1908 to 2012: Continuity and change in London Olympic narratives - John Horne 3. Preparing and winning the London bid - Guy Masterman Part Two: Delivering the Games 4. Materializing the vision of a 2012 London Olympic Games - Gillian Evans 5. From a Roman village to an Olympic site: transforming East London - Andrew Powell 6. The Olympic Laws and the contradictions of promoting and preserving the Olympic Ideal - Mark James & Guy Osborn 7. London 2012 legacy strategy: Ambitions, promises and implementation plans - Mike Weed 8. Securing the Games - Jon Coaffee & Pete Fussey 9. Preparing TeamGB for London 2012 - Dave Collins & Andrew Cruickshank 10. Governance of the Games - Vassil Girginov Part Three: Engaging the UK Public 11. Involving East London communities - Iain MacRury 12. Involving the Regions - Ian Jones 13. Involving Schools - Charlie Tims 14. Involving the Further & Higher Education sector - Dikaia Chatziefstathiou 15. The London 2012 Cultural Olympiad and Torch relay - Beatriz Garcia 16. Volunteering for the Games - Geoff Nichols Part Four: Engaging Sports 17. Olympic and Paralympic Governing Bodies of Sport and the Games - Vassil Girginov 18. Other sport providers and the Games - Mike Collins Part Five: London 2012 and the World's Participation 19. Preparing for London: National elite sport policies - Barrie Houlihan, Jae Woo Park & Mayumi Ya-Ya Yamamoto 20. London 2012 and the Global South - Boria Majumdar 21. Beijing-London-Rio de Janeiro: a never ending global competition - John Gold & Margater Gold Part Six: Conclusions 22. Making the London Olympic & Paralympic Games: the story so far - Vassil Girginov
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.172 | 0.101 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".