Relations ethniques et tensions identitaires en contexte pluriculturel
Bibliographic record
Abstract
Depuis le début des années quatre-vingt, Montréal a vu rapidement s'accroître sa population d'origine autre que française ou britannique, particulièrement dans ses écoles, où l'on prévoit que d'ici l'an 2000, cette population formera environ 50 % de la clientèle. Qui plus est, cette population d'autres origines n'est plus que minoritairement européenne, les plus forts contingents d'immigrants arrivés au Québec lors de la dernière décennie provenant des Antilles et d'Asie. Quel impact ce mélange inédit de cultures a-t-il sur la perception que les jeunes des quartiers multiethniques ont de leur propre culture et de leurs relations sociales ? Telle est la question de base à laquelle notre recherche a tenté de répondre. Nous traiterons plus particulièrement des tensions identitaires issues des échanges entre jeunes, et des stratégies qu'ils développent pour les alléger.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.034 | 0.038 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.007 |
| 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".