A solider and a victim: Masculinity, violence, and incels celebration of Marc Lépine
Bibliographic record
Abstract
In 1989, Marc Lépine murdered 14 women at L’École Polytechnique de Montréal. In this paper, we demonstrate how involuntarily celibate (“incel”) men celebrate Lépine and claim him as a member of their community. Our analysis draws on 637 comments made on incels.is, the main English-language incel forum, that explicitly mention Marc Lépine. We argue that incels use Lépine to situate themselves in relation to masculinity and to justify violence against women. First, incels celebrate Lépine as a methodical and efficient murderer, connecting both themselves and Lépine to hegemonic masculinity. Second, incels orient to both hegemonic and subordinate masculinity by arguing that feminists are waging a gender war against men. Third, incels describe both themselves and Lépine as victims of feminists and use this perceived subordination to justify violence against women. We discuss findings in relation to theories of masculinity and policies regulating online speech.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".