La résilience dans le parcours scolaire des jeunes noirs d’origine africaine et caribéenne au Québec
Bibliographic record
Abstract
This article analyzes the educational pathways of Black Québécois students with immigrant background from Sub-Saharan Africa and the Caribbean, all of whom are members of racialized groups, targets of discrimination and marginalization, and are at risk of vulnerable educational pathways. However, the results obtained from longitudinal data (N = 8415) show that these students are able to overcome these obstacles. Although they are more at risk of major academic difficulties, delays due to grade repetition, and are less likely to attend a private school or be admitted to enriched programs, these students access postsecondary education (college and university) in a proportion fairly comparable to that of their peers whose parents are Eurocanadian-born. Although the situation is somewhat reversed with respect to graduation, this article supports the resilience hypothesis put forward by some authors, such as Krahn and Taylor (2005), with respect those students. Keywords: discrimination and marginalization, Black students, immigration and immigrants, school and postsecondary pathways, race and racism, resilience
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".