“The Listening Posts are Certainly our Night Lights”: Canadian Trench Newspapers During the Great War
Bibliographic record
Abstract
Living in the trenches during the First World War, Canadian soldiers experienced extreme levels of stress. There were unending days of monotony, mud craters filled with water, and food tins stuffed with all-‐too-‐familiar consumable goods. Soldiers responded to this seemingly unbearable environment by adopting a number of practices that helped ease the stresses of daily life. One of these practices was the publication of their very own newspapers. ‘Trench newspapers’ featured stories, poems and cartoons, laden with humour, irony and sarcasm. For its part, the 7th Battalion of the Canadian Expeditionary Force published its own newspaper called The Listening Post. This essay examines the eighth edition of The Listening Post, published in November 1915, to shed light upon soldier culture during the Great War. The essay reveals that trench newspapers provided soldiers with an invaluable means of dealing with life in the trenches.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.042 | 0.010 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".