Violence by any other name: constructing immigration crises, the threat of the sick refugee and rationalising immigration detention through moral panic
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.082 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".