Panel III: Les droits en matière de langues officielles/ Official Languages Rights
Bibliographic record
Abstract
Présidente/Chair: Pascale Chapedelaine (Professeure agrégée, Droit, Université de Windsor) “Une perspective personnelle sur l’évolution de la mise en oeuvre de l’article 23 de la Charte des droits et libertés,” Maxine Vincelette (Avocate, Juristes Power Law, Vancouver) “Le droit constitutionnel aux services publics fédéraux dans la langue officielle de son choix,” Serge Rousselle (Professeur titulaire, Droit, Université de Moncton) “Évolution de la Partie VII de la Loi sur les langues officielles : une vision à la recherche moyens efficaces,” Érik Labelle Eastaugh (Professeur agrégé, Droit, Université de Moncton) “Presentation on the Right to a Judicial Trial,” Michael Bergman (Litigator, Bergman & Associates, lawyers, Montreal)
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.036 | 0.005 |
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".