Inclusion as a norm. Multi−scalar influences on the recognition of people with disabilities in French national sports organizations
Bibliographic record
Abstract
Since the early 1990s, evolutions in the governance of sport for people with disabilities point to a transfer of responsibility from national disability sports organizations toward national mainstream sports organizations in many countries. The study of those transformations at the French federation level shows that they are a response to exogenous logics at work not only at the national level through the ministries, but also at other levels. Indeed, some inclusion policies by international sports organizations and associative restructuring at the local level have been conducted in order to promote access to clubs for everyone. However, they have led to inadequate national organization, creating many problems for people involved and, therefore, require changes to be made. This article adopts a multi-scalar approach to study the links between various sporting contexts. Through the analysis of debates and arguments inside the national ‘sports and disabilities’ space, this article presents the role played by environmental influences on the decision-making process and highlights the way individual and collective actors make strategic use of these influences in order to position themselves inside spaces in the making.
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.015 | 0.024 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".