Temporalising barriers: Postsecondary schooling access among precarious status students in Toronto
Bibliographic record
Abstract
Abstract This paper examines the landscape of access to postsecondary education (PSE) for precarious status migrants in Toronto, Canada. Drawing on interview data, the paper focuses on the barriers migrant students experience when attempting to enrol in PSE due to their immigration status and how that process changed after participating in a bridging course designed to facilitate their entry to a local PSE institution. The data reveals that participants experience temporal displacements (limbo, delay, and deficit) and engage in temporal negotiations given immigration and educational policy, institutional timelines, life course expectations, and day‐to‐day schedules. Although the bridging course is an important intervention towards the social inclusion of migrant students, these gains are curtailed by persisting financial and institutional barriers that perpetuate temporal displacements. The paper contributes to debates about the inclusion of precarious status migrants to membership rights and social goods by complicating understandings of access to PSE for precarious status migrants. It also widens our understanding of access to PSE for precarious status migrants beyond the U.S. context.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".