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Violence by any other name: constructing immigration crises, the threat of the sick refugee and rationalising immigration detention through moral panic

2021· article· en· W4205842678 on OpenAlex

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

VenueCritical and Radical Social Work · 2021
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRefugeeMainstreamImmigrationMental healthCriminologyMoral panicImmigration detentionIdeologyState (computer science)SociologyPoliticsGender studiesIdentity (music)Political scienceLawPsychologyPsychiatry

Abstract

fetched live from OpenAlex

This article is concerned with the employment of pathologising discourses of mental health and trauma by the mainstream media as they pertain to the treatment of migrants in detention in Canada. Using critical discourse analysis, this research contrasts mainstream media coverage of four major publications on immigration detention. It explores the media’s role in the (re)creation of refugee discourse, and as a purveyor of racial ideology, which problematises people of colour and demands state intervention in the form of mental health aid. The resulting discourse pathologises the refugee identity and simultaneously obscures the socio-political conditions and violence that necessitates their departure from their home countries. As refugee discourse is infused with biomedical understandings of mental health, it also legitimises the nation state’s practice of coercive social control for these populations through detention.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.718

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 studies0.0010.001
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 head0.025
GPT teacher head0.329
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