Bibliographic record
Abstract
Padres in No Man's Land is the compelling story of brave and deeply committed army chaplains who brought faith and courage to Canada's troops during one of history's most devastating wars. Tracing the growth of the Canadian Chaplain Service from its chaotic and controversy-ridden early days to its maturation as an efficient field force, Duff Crerar highlights both the role of the Service on the battlefield and the personal experiences of the chaplains. Refuting the widely held view that chaplains serving overseas were cloistered from front-line realities, Crerar describes the padres' experiences in camps, hospitals, and on the battlefield. He examines how they maintained their faith in the face of death and destruction, and explores the bonds forged between chaplains and troops. Padres in No Man's Land concludes in the postwar era with the decline of the chaplains' hopes for spiritual renewal upon their return to Canada - their dreams dashed not by the war, but by the subsequent peace.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".