"Death knows but one rule of arithmetic": Discourses of Death and Grief in the Trenches
Bibliographic record
Abstract
Death was ubiquitous in the First World War and while contemporaries acknowledged this, soldiers’ experiences of death and grief have been largely ignored in the Canadian historiography. This thesis seeks to address this gap in the literature by examining how English-Canadian soldiers responded to and coped with death on the Western Front. It argues that combatants developed and adapted multiple methods of coping, which ranged from humour to emphasizing ideals of sacrifice to emotional distance, in response to the horrific conditions of the trenches. This thesis explores both private and public discourses of death using contemporary diaries, letters and trench newspapers. Men drew upon pre-war narratives and rituals, adapting them to suit their needs, but also developed new attitudes towards death, unique to wartime experiences, in their reactions to death in the trenches. While often contradictory in nature, soldiers used these various approaches to handle the overwhelming death of the front, employing whichever method they found appropriate and most useful at the time and in that particular circumstance.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.030 | 0.050 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".