Minimizing and Denying Racial Violence: Insights from the Québec Mosque Shooting
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.
Bibliographic record
Abstract
On 29 January 2017, a twenty-seven-year-old white man named Alexandre Bissonette entered a mosque in a suburb of Québec City and opened fire, killing six people. Focusing on Canadian media reports, this article examines two seemingly incongruent responses to this heinous massacre. First, despite Bissonnette’s unambiguous and purposeful targeting of Muslims, the public and the courts still debated whether this massacre was racially motivated. Second, when members of the Muslim community commented on the massacre and the impact that it had had on them, there appeared to be a type of restraint in the ways in which they expressed their fears and frustrations and in the ways in which they addressed the issue of anti-Muslim racism. How do we understand these incongruences? This article draws upon Sherene Razack’s seminal scholarship on public grief, national mythologies, and anti-Muslim racism in Canada, alongside studies on public expressions of emotions to make sense of the role that race played in the responses by the Muslim community, the politicians, the courts, and the accused.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it