Des Jeux Olympiques de Montréal et paralympiques de Toronto (1976) à ceux de Paris (2024) From the Montreal Olympics and the Toronto Paralympics to the Paris Olympics
Bibliographic record
Abstract
Profitant de l’occasion apportée par les Jeux olympiques et paralympiques à Paris en 2024, ce numéro de la revue Aequitas souhaite porter un regard attentif aux évolutions qui touchent tout autant le sport compétitif de haut niveau que les diverses formes d’activités sportives, physiques ou motrices de loisir pour les personnes ayant des incapacités. Ainsi, qu’en est-il de la transformation du regard sur la participation sociale à travers la participation des sportifs dans le domaine international du para-sport, dans celui du sport pour tous les publics spécifiques, particuliers ou vulnérables, de l’handisport et du sport adapté ou encore du sport partagé, collaboratif ou participatif dans des institutions particulières ? À cette question de la participation sportive qui apparaît désormais moins comme une question relative à l’éducation, la rééducation ou même la santé que comme une question de droit, répond en écho à celle de la visibilité des personnes ayant des incapacités dans le 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".