Encyclopedia of International Sports Studies
Bibliographic record
Abstract
Now available in paperback, the Encyclopedia of International Sports Studies is the most authoritative and comprehensive single-volume reference work ever published on sport. With over one million words of text arranged into more than 1000 entries and articles, it covers the full range of sub-disciplines within sports studies; including scientific, social scientific and medical approaches. The encyclopedia is alphabetically organized and consists of: * principal articles covering key disciplinary areas, such as sports economics and sports history * large topical entries on central subjects such as resistance training and the diagnosis of sports injuries * smaller topical entries on subjects such as cross training and projectile motion * short overviews of other important terms and concepts, from metabolism and motivation to muscle tension-length relationship. With over 150 contributing authors from the US, UK, Canada, Australia, South Africa, Japan, New Zealand, Hong Kong and continental Europe, the Encyclopedia of International Sports Studies is an unparalleled work of sports scholarship. Accessibly written, facts-fronted and including full cross-referencing and guides to further reading throughout, this is an essential addition to the bookshelf of any student, researcher, teacher or professional working in sport.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.341 | 0.222 |
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".