Disentangling Moral from Morale: Attempted Suicides in the Canadian Army, 1943–1944
Bibliographic record
Abstract
The following is the story of two men. Two men stationed at the same military training camp in Petawawa, Ontario. Two men who both held one of the lowest ranks in the Canadian Army as gunners during the Second World War. Two men who were both charged with attempted suicide. Two men who had similar cases but vastly different outcomes. The story of these two men, while small and perhaps seemingly inconsequential, illuminates the military structures that were guided by the efforts of the Army to maintain morale through strict discipline that reinforced the moral code that soldiers were expected to follow. Their stories teach us about masculinity, military life, military justice, family, and lastly, suicide and the way it has been defined and understood as a threat to the military establishment which identified suicide as a social contagion early in the development of military law. Those considered carriers of this social contagion, as we will see in the cases of John Lauzon and Albert Mulligan, were secluded, manipulated, silenced, punished, or stripped of legitimacy altogether.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.016 |
| Science and technology studies | 0.006 | 0.007 |
| 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".