Intersectionality in programs and services for newcomer youth in Toronto
Bibliographic record
Abstract
Newcomer youth arrive to Canada with multiple social identities including, their immigration pathway, status, race, gender, sexuality etc. which shapes their individual experiences and settlement. The term “intersectionality” was coined by Crenshaw (1991) to highlight how identities intersect and can act as sites of cross-roads of oppression, as rooted in an understanding of social exclusion and inclusion. This paper studies how newcomer youth programs in Toronto are informed by intersectionality. Audio interviews were conducted with three service providers to study their cognizance of intersectionality, their experiences with newcomer youth who have multiple identities, and if/how their programs incorporate an intersectional lens. Results showed that while key informants practice and understand intersectionality, they feel limited by funding and other barriers which stifle their inclusivity. The potential benefits of this project exist for service providers and their workplaces, who can evaluate their understanding of newcomer youth to recognize and support them better. Key words: intersectionality; newcomer youth; Toronto
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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 | 0.015 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".