An ‘unfathomable hatred of Islam’: Ethno/graphing the trial for the Québec City mosque massacre
Bibliographic record
Abstract
On the night of January 29, 2017, six Muslim worshippers were killed, and many others severely injured when a white man opened fire at a mosque in Québec City (QC, Canada). This article is based on a collective ethno/graphy of the assailant's trial, from its beginning in March 2018 until the verdict in February 2019. During this period, our research group - formed of three sociologists and a visual artist - attended trial hearings at the Superior Court of Québec and collected related media coverage and political statements. To analyze the legal, political, and media treatment of the 2017 massacre, we put forth a political ethnography of justice, informed by critical scholarship on depoliticization and epistemologies of white ignorance. Our analysis identifies distinct sequences in a process of depoliticization that obscures historical, structural, and political dimensions of anti-Muslim violence. In attending to this process, our article advances sociological research on the institutional treatment, and concealment, of religiously and racially targeted violence.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".