Biased policing, martyrdom, white gratitude & brown pain: media narratives surrounding the Bruce McArthur case
Bibliographic record
Abstract
Between 2010 - 2017, eight men from Toronto???s Gay Village went missing and later discovered murdered by Bruce McArthur, a 67-year-old gay, white man from Toronto. Upon McArthur???s 2018 arrest, allegations of racial bias and homophobia against Toronto Police resurfaced, questioning the safety and protection of Toronto???s LGBTQ2SIA+ community. Existing research on news media framing of crime victims lacks to understand how the news media frames queer victims of crime. This research sought to explore the emergent media narratives framing the McArthur case through a critical discourse analysis of 212 news items from the Toronto Sun, Toronto Star, and Xtra. Findings suggest that local media coverage of the McArthur case centered around three major narratives: (i) biased policing by Toronto Police, (ii) different portrayals of white victims and families versus brown victims and families, and (iii) the complexity of intersecting victim characteristics. The implications of these narratives are discussed.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.020 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| 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".