La vulnérabilité scolaire des jeunes LGBTQI en France
Bibliographic record
Abstract
À partir de données d’enquête collectées auprès de 2 001 jeunes LGBTQI, cet article brosse un portrait de leurs expériences scolaires, évoquant leur victimation, leur représentation dans les contenus d’apprentissage et leur capacité à exercer leur citoyenneté. Deux constats ressortent de ces analyses. D’abord, les jeunes trans, non binaires et intersexes sont significativement vulnérabilisé·e·s par et dans dans la sphère scolaire. Ensuite, l’Éducation nationale contribue à alimenter ces vulnérabilités en limitant l’appréhension des violences aux épisodes de « haine anti-LGBT » et en misant sur l’égalité filles-garçons, une approche différentialiste qui reconduit une bicatégorisation des sexes et une présomption d’hétérosexualité.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".