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Record W7051698977

Poor bloody murder personal memoirs of the First World War

2024· other· en· W7051698977 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirSurpriseNarrativeOfficerPersonal narrativeWorld War IIFirst world warFront (military)Spanish Civil War
DOInot available

Abstract

fetched live from OpenAlex

"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)"

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.004
GPT teacher head0.198
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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