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Record W4404201059 · doi:10.1111/soc4.70014

The Racial Carcerality of Migration Governance

2024· article· en· W4404201059 on OpenAlex
Brianna Garneau

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.

Bibliographic record

VenueSociology Compass · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsYork University
Fundersnot available
KeywordsSociologyCorporate governanceEconomic geographyGeographyEconomicsManagement

Abstract

fetched live from OpenAlex

ABSTRACT Bringing migration governance literature into conversation with carceral studies, this article offers a conceptual framework to account for the interconnectedness between migration governance in the global North and the racial logics of carcerality. It argues that criminalization, incarceration, detention, and deportation, converging as a carceral industrial complex, should be viewed in historically specific contexts as modes of racist exclusion that fulfill racial projects. The article first considers critical race scholarship on nation‐state formation to trace the historical and contemporary manifestations of racial exclusion within immigration legislation. Next, the article traces the carceral nature of migration and border governance, focussing particular attention to its expansion into the orbit of families and communities, to suggest that carceral migration governance crystalizes a set of power relations implicated in the reproduction of global racial ordering. To illustrate this argument, the final section engages the carceral migration racial governance framework through the empirical vantage point of ‘the family’ to advance an understanding of the work that carceral migration does for racial ordering and the production of disposable (family) life to those ends.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.019
GPT teacher head0.336
Teacher spread0.318 · 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