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Record W4405610874 · doi:10.1525/esr.2024.47.2-3.89

Abolishing Migrant Detention in Canada

2024· article· en· W4405610874 on OpenAlexaffabout
Stephanie Latty, Kyon Ferril, Allos Abis, Joshua Price

Bibliographic record

VenueEthnic studies review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInjusticeCitizenshipMulticulturalismMythologySociologyImmigration detentionWork (physics)CriminologyPolitical scienceImmigrationEconomic JusticeLawPublic relationsEngineeringHistory

Abstract

fetched live from OpenAlex

It is a frequent misconception that the Canadian criminal justice system and immigration detention system is more benign and less violent than that of its neighbor to the south. An abolitionist pedagogical approach in Canada can challenge the enduring myth of Canada as a benevolent, post-racial, multicultural nation and reveal the shadowy carceral state. In 2022, four activists came together to implement an abolitionist learning experience designed to raise consciousness on migrant detention in Canada. Our collaborative project, titled the “Detention Review Observation Project,” experimented with giving undergraduate students the theoretical and practical tools to grapple with the injustice of migrant detention in Canada and to consider how they might work towards the abolitionist work of dismantling the system and building alternatives in its place.1 Students worked with a migrant-led abolitionist organization in Toronto and learned how to engage in collective, community-based advocacy work. Our project provided an introductory opportunity to consider some aspects of the injustice brought about by the institution, practice, and procedures of migrant detention in Canada and beyond. In our own distinct voices, we offer a three-dimensional parallax view of the “Detention Review Observation Project,” from our respective social locations. In dialogue with other scholars experimenting with abolitionist pedagogical possibility, we elaborate on the project, its abolitionist theoretical underpinnings, its failures, successes and lessons.

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.

How this classification was reachedexpand

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.127
GPT teacher head0.431
Teacher spread0.304 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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