“There Will Be a Next Time”: Media Discourse about an “Apocalyptic” Vision of Immigration, Racial Diversity, and Health Risks
Bibliographic record
Abstract
Cet article porte sur la couverture médiatique au Canada d’une visiteuse congolaise suspecte d’une maladie mortelle, et vise à montrer comment se construit et se maintient la notion de «race» dans la société canadienne. Il s’appuie sur l’analyse du discours critique de quatre journaux les plus importants du pays. Il en résulte que les média se sont servis de cecas pour provoquer une panique dans la population en faisant l’amalgame entre immigration et identité raciale d’une part, et les risques de santé d’autre part. Une analyse de la couverture médiatique révè;le que, dans les médias, un discours contre la diversité raciale se cache derriè;re des termes non-raciaux. Nous soutenons que les nouvelles rapportant cet événement ont renforcé des idéologies raciales non seulement plus générales jouant sur le duo immigration et danger, et ayant la capacité d’exploiter l’anxiété des Canadiens concernant la présence grandissante de minorités raciales au pays.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.049 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".