Poor bloody murder personal memoirs of the First World War
Bibliographic record
Abstract
"A new edition of one of the most important titles published in 1980. Deeply personal narratives of soldiers involved in contemporary wars now have become available because of the explosion of the internet and the proliferation of news media. However, our knowledge of personal narratives of soldiers in the First World War are very limited. This book filled an important gap in our knowledge of soldier life, their fears, hopes, aspirations and suffering! As the editor/author Gordon Reid states: " Many books of a scholarly or autobiographical nature on World War One have been and are still being published, but I believe this is one of the first to deal with the personal narratives of the lower ranks such as Privates and Corporals, right up to the Colonels and Brigadier Generals... This book contains interviews with over fifty veterans of which sixty percent are Canadians. The rest are mainly British, with a couple of Germans, a Frenchman and even a Canadian who served the American Army." The book also contains some 40 original photos and documents and maps culled rom soldiers' personal archives. 'To my surprise I could see some Germans busy receiving their rations. The were about two hundred yards away. Of course, they did not know they were exposed to file fire as part of their parapet had been blown down. The officer said, "What would you do in this case?" I replied, "I think this is Christmas Eve." He said, "Oh, yes it is, but in case someone gets trigger happy you fire a shot close to them as a warning." I fired about twenty feet to their left. They weren't long in taking cover, but the last man to leave hesitated a moment and saluted" --Bombardier James F. Johnson (5th C.M.R.) "My gunner landed his shells right between the men. It was like a scythe cutting down grain." -- Lieutenant Johan Farkas (German Artillery)"
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".