Bibliographic record
Abstract
Foreword: Bottling the Olympic Spirit David Canter 1. Olympic legacies: recurrent rhetoric and harsh realities Alan Tomlinson 2. The Beijing Olympics: complicit consumerism and the re-invention of citizenship Steven Miles 3. The legacies of the Athens 2004 Olympic Games: a bitter-sweet burden Roy Panagiotopoulou 4. Making the Olympics work: interpreting diversity and inclusivity in employment and skills development pre-London 2012 Lynn Minnaert 5. Training of Vancouver 2010 volunteers: a legacy opportunity? Angela M. Benson, Tracey J. Dickson, F. Anne Terwiel and Deborah A. Blackman 6. Landscapes of London 2012: 'adiZones' and the production of (corporate) Olympic space Francesca Weber-Newth 7. Legacies of 2012: putting women's boxing into discourse Kath Woodward 8. London's shadow legacies: security and activism at the 2012 Olympics Jules Boykoff and Pete Fussey 9. The 2016 Olympic and Paralympic Games and Brazil's soft power Barbara Schausteck de Almeida, Wanderley Marchi Junior and Elizabeth Pike
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".