Les mots pour le dire : acculturation ou racialisation? Les théories antiracistes critiques (TARC) dans l’expérience scolaire des jeunes NoirEs du Canada en contextes francophones
Bibliographic record
Abstract
La théorie de l’acculturation a été utilisée dans le champ multidisciplinaire de l’interculturel pour l’étude de phénomènes socioéducatifs liés à la migration. Cependant, de plus en plus, des chercheurs en éducation, Afro-Canadiens notamment, proposent des cadres théoriques inspirés de la théorie raciale critique pour camper le contexte dans lequel a lieu l’expérience scolaire des jeunes Afro-Canadiens. Leur perspective amène à remettre en question le concept d’acculturation et à adopter plutôt celui de racialisation. Cet article propose une réflexion théorique sur le passage de l’acculturation à la racialisation dans le cadre de la théorie antiraciste critique (TARC) revisitée par Dei. Les enjeux, portée et limites de cette théorie antiraciste critique dans la compréhension de l’expérience scolaire de jeunes Afro-Canadiens de Montréal sont discutés.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.039 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".