Qui est-ille ? Le respect langagier des élèves non-binaires, aux limites du droit (Who Are They? Linguistic Respect for Non-Binary Students and the Limits of Law)
Bibliographic record
Abstract
French Abstract: Dans cet article, l’autrice explore la question de savoir si une obligation legale de respecter les pronoms et accords neutres existe en contexte scolaire francophone au Quebec. Ille debute par un survol du contexte vecu par les personnes non-binaires francophones ainsi que de leurs besoins par rapport au respect des pronoms et accords neutres. Ensuite, ille analyse l’etat actuel du droit relativement au harcelement et a la discrimination envers les personnes trans en contexte scolaire et evalue la plausibilite qu’une obligation de respecter les pronoms et accords neutres soit retenue par les tribunaux quebecois. Enfin, a la lumiere des limites du droit, ille propose une approche strategique concernant le respect des pronoms et accords neutres qui met l’accent sur le developpement de politiques institutionnelles s’appuyant sur le droit. English Abstract: In this article, the author explores the question of whether there exists a legal obligation to respect gender neutral pronouns and accordance in schools in Quebec. They begin with an overview of the lived context of non-binary francophone people as well as of their needs with regards respect for gender neutral pronouns and accordance. Then, they analyse the current state of the law on harassment and discrimination against trans people in schools and evaluate the plausibility that an obligation to respect gender neutral pronouns and accordance would be recognised by Quebec courts. Finally, in light of the limits of law, they propose a strategic approach to the respect of gender neutral pronouns and accordance that puts the focus on the developing of institutional policies informed by the law.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".