Bibliographic record
Abstract
In February 2017, Montréal committed to allowing non-status migrants to access some municipal programs and services without fear of being arrested, detained, and removed from Canada. This chapter provides a critical analysis of the emergence and the operation of Montréal’s sanctuary city policy, formally known as “Responsible and Committed City.” A reflection is offered on whether and to what extent the local policy effectively allows non-status migrants to access municipal services without fear of being arrested and deported. It is argued that Montréal’s sanctuary city policy has emerged as a top-down approach, in reaction to the punitive measures against refugees and non-status migrants by the United States and globally. Although the City has shown a genuine commitment to improve non-status migrants’ lives, it has been difficult to translate positive municipal initiatives into effective implementation. A main barrier has been the limited jurisdictional power and authority of the City in migration matters. In addition, Montréal’s policy is seriously curtailed by the municipal police, who treat non-status migrants as criminals.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.010 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| 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".