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Record W2913422808 · doi:10.18357/ijcyfs101201918807

RESPONSES TO STRUCTURAL VIOLENCE: THE EVERYDAY WAYS IN WHICH QUEER AND TRANS MIGRANTS WITH PRECARIOUS STATUS RESPOND TO AND RESIST THE CANADIAN IMMIGRATION REGIME

2019· article· en· W2913422808 on OpenAlexaffvenueabout
Edward Ou Jin Lee

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsQueerImmigrationGender studiesEthnographyIdeologySociologyState (computer science)Structural violenceCriminologyPolitical sciencePoliticsLawAnthropology

Abstract

fetched live from OpenAlex

This article examines how the Canadian immigration regime socially organizes the everyday lives of queer and trans migrants with precarious status. Drawing from key findings from an institutional ethnographic study, this article maps out the disjuncture between the actual experiences of queer and trans migrants with precarious status and the ideological and textual production of precarious status by the Canadian state. Making explicit this disjuncture reveals how the Canadian immigration regime enacts structural violence upon queer and trans migrants. This article also engages with the response-based approach to violence in order to understand how queer and trans migrants actively respond to this violence. In doing so, this article highlights the ways in which queer and trans migrants respond and resist the structural violence integral to the Canadian state’s production of precarious status.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.586

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0240.026
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.300
Teacher spread0.278 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations39
Published2019
Admission routes3
Has abstractyes

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