Perspective Chapter: Behind the Exceptional Educational Pathways of Canadian Youth from Immigrant Background - Between Equality and Ethnic Hierarchy
Bibliographic record
Abstract
This chapter aims to show that, behind the general exceptional academic pathways of Canadian students from immigrant backgrounds, some of these young people, belonging to racialized ethnic minorities, are less likely to access and graduate from postsecondary education. Its specific objective is to describe the general portrait of their educational pathways. A synopsis of some recent studies shows that that these students often face structural barriers at the institutional level. Comparative analyses between young Canadians of immigrant origins and their peers who are not recognize the remarkable success of Canadian immigrants, a rather exceptional phenomenon compared to what is observed internationally. However, this chapter stresses that this portrait must be nuanced: a number of studies highlight significant disparities among young people from immigrant backgrounds according to the ethnocultural and geographic origin of their parents. The situation is less favorable or unfavorable, in the case of certain racialized groups. Therefore, following an overview of the contribution of studies inspired by a postpositivist approach, this chapter highlights some dimensions that have been traditionally obscured. This allows for a better understanding of the relationship between the effects of various factors (individual, institutional, systemic) that structure and perpetuate inequalities and ethnic hierarchy among students from immigrant backgrounds.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".