Death and the Maidens: Vancouver's Missing Women, the Montreal Massacre, and Commemoration's Blind Spots
Bibliographic record
Abstract
In this study, I focus on memorial responses to two crimes, the Montreal Massacre and Vancouver's so-called “Missing Women” serial killings, both large-scale, very public acts of violence targeted specifically at women. Comparing the memorializing of these mass murders, I analyse the complexities and the possibilities of contemporary memorial rhetoric and the issues of accessibility and legibility it raises; the gap between official and marginalized mourners (and victims) evident in these case studies stands as both a means of maintaining the status quo and an opportunity for resistance to these norms. Looking at particular commemorative acts, I explore how traumatic deaths—and the lives behind them—are remembered by the survivors, their communities, and the nation at large. Because memorials in their sundry forms bring together individual and public grief, personal and collective memory, and, in so doing, determine whose lives count to the community, they provide rich subject matter for analysing how death and life together contribute to auto/biographical identities and narratives.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.021 | 0.022 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".