Cop-Killers, Emotion, and Capital Punishment in Moncton, New Brunswick: The Ambrose and Hutchison Case, 1974–5
Bibliographic record
Abstract
On 13 December 1974, Moncton policemen Corporal Aurèle Bourgeois and Constable Michael O’Leary were kidnapped and murdered, evoking an intense public response of grief and anger against the perpetrators. The funeral for the murdered men and the trial and conviction of Richard Ambrose and James Hutchison for the crime offers an example of how emotions evoked by sensational murders played an important role in the Canadian criminal justice system and debates on capital punishment. Examining the reactions of the police, political figures, and the media, as well as how sympathy was managed at the trial, demonstrates how certain laws aimed to regulate the emotions related to violent crime: accepting expressions of compassion and sadness, but not anger and vengeance. The murders also coincided with a majority federal Liberal government committed to changing the laws surrounding capital punishment. Even though the perpetrators elicited little public sympathy, their case was used as both an opportunity to champion hope and forgiveness in the cause of abolition and an example for retentionist calls for retribution and punishment. This article examines how the grief and anger of one community illustrated the criminal laws designed to regulate emotions in court and outside of it and intersected with the contemporary debates on abolition, highlighting the importance of the grief and anger of policemen and police associations in capital cases and in the debates over the death penalty.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".