Bibliographic record
Abstract
There could be no truer witness to the enormity of the First World War and its terrible cost in lives than the memorials and war cemeteries along the old Western Front. In Canada, no less than in the other dominions of the British Empire, the war left a conflicting legacy of pride and sorrow that endures to this day. The soaring Vimy Memorial, the Brooding Soldier, and the monuments honouring Canada’s significant contribution to the Allied victory symbolize the spirit of shared sacrifice and nationhood that emerged from the crucible of the war. But alongside this official commemoration there exists a poignant, strangely overlooked, record of the grief and search for consolation among the Canadian populace in the years after the Armistice. This has come down in the personal inscriptions which the Imperial War Graves Commission invited next of kin to have engraved on the headstones of the fallen. Simple, heartfelt, often gems of compression, these farewells preserve the voice of Canada’s bereaved, the parents, the wives, the children, who were left to mourn and to seek meaning and comfort in their loss. This book offers an anthology of epitaphs drawn from the war cemeteries where Canadian soldiers lie buried in Flanders and France. Photographs and war art transport readers to the sites, and each chapter reviews the sources and themes of the epitaphs to establish their place in the national memory of the First World War.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.006 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.106 | 0.033 |
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".