Bibliographic record
Abstract
1. Prologue: Concerns, Confidence, Caveats J.A. Mangan Future Aspirations 2. Olympic Challenges Helmut Digel 3. How Green Will My (Lea) Valley Be? Olympic Aspirations: Rhetoric or Reality Peter Horton and Dwight H. Zakus 4. Manly Displays: Exhibitions and the Revival of the Olympic Games Lia Paradis 5. Planning and Reconversion of Olympic Heritages: The Montreal Olympic Stadium Romain Roult and Sylvain Lefebvre 6. Mexico City 1968: Oscillating Aspirations Keith Brewster 7. Post-Sydney 2000 Australia: A Potential Clash of Aspirations Between Recreational and Elite Sport Kristine Toohey 8. Athens' Post-Olympic Aspirations and the Extent of their Realization Penelope Kissoudi Recent Past Aspirations 9. The Beijing Games, National Identity and Modernization in China Dong Jinxia 10. Olympic Aspirations: Reconstructed Images, National Identity and International Integration Ying Yu 11. Beijing 2008: Volunteerism in Chinese Culture and its Olympic Interpretation and Influence Juan Zhuang 12. The Effect of Beijing 2008 on China's Image in the United States: A Study of US Media and Polls Nafees A. Syed 13. The 'Black Auxiliaries' in American Memories: Sport, Race and Politics in the Construction of Modern Legacies John Gleaves and Mark Dyreson 14. Outsiders: Muslim Women and Olympic Games - Barriers and Opportunities Gertrud Pfister Coming Aspirations 15. 'Team GB' and London 2012: The Paradox of National and Global Identities Iain MacRury and Gavin Poynter Mega-Event Global Aspirations 16. Olympiads as Mega-events and the Pace of Globalization: Beijing 2008 in Context Paul Close 17. The Geopolitics of Global Aspiration: Sport Mega-events and Emerging Powers Scarlett Cornelissen 18. Perspectives of Sport in a Global World Helmut Digel 19. Epilogue: Showcases for Global Aspirations: Meditations on the Histories of Olympic Games and World's Fairs Mark Dyreson
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".