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Record W3021890710 · doi:10.1111/imig.12714

Rescaling the Sanctuary City: Police and Non‐Status Migrants in Ontario, Canada

2020· article· en· W3021890710 on OpenAlex
Mia Hershkowitz, Graham Hudson, Harald Bauder

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Migration · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsHonourImmigrationLaw enforcementAgency (philosophy)PledgePolitical scienceLawPublic administrationImmigration lawGovernment (linguistics)EnforcementLocal governmentCriminologySociology

Abstract

fetched live from OpenAlex

Abstract Canadian cities pledge to provide access to municipal services to non‐status migrants and withhold information identifying non‐status migrants from federal immigration authorities. Despite these promises, local police continue to cooperate with the Canada Border Services Agency, which raises questions about the capacity of cities to honour their promises. An empirical study involved interviews with high‐ranking police officers in eight local jurisdictions in Ontario about police perceptions regarding their role in the enforcement of federal immigration law and their obligations to honour sanctuary‐city policies. The results show that many police officers believe they possess legal authority to report non‐status migrants to federal authorities. We suggest that this belief rests on misconceptions about the relationship between criminal law and immigration law, claims of jurisdictional immunity from municipal government, and distortions of the principles of policing in Canada. Rescaling of sanctuary policies to the provincial level may offer solutions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.265
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it