Bibliographic record
Abstract
Cet article se donne comme enjeu de retracer le développement du E-hockey, un des rares sports collectifs pratiqué en fauteuil électrique, afin de comprendre qui sont les personnes qui y ont (ou y ont eu) accès, et comment cette pratique devient un espace de la construction des identités individuelles et collectives. Ce texte propose une vision diachronique des débats internes relatifs à la démarche d’intégration de ce sport au sein du mouvement paralympique. La recherche met au jour les effets du processus de sportivisation du E-hockey sur l’inclusion/exclusion des joueurs aux compétions sportives. D’une part, la pratique du E-hockey semble participer à l’empowerment des personnes ayant des incapacités motrices sévères, leur permettant de se réinventer en minorité active. D’autre part, le processus d’institutionnalisation de la pratique produit l’exclusion de joueurs dont les limitations de capacité ne correspondent pas aux critères d’éligibilité retenus dans les règlements internationaux de ce 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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.022 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".