Bibliographic record
Abstract
Historians of the First World War have often dismissed the important role of poison gas in the battles of the Western Front. In No Place to Run, however, Tim Cook shows that the serious threat of gas did not disappear with the introduction of gas masks. By 1918, gas shells were used by all armies to deluge the battlefield, and those not instructed with a sound anti-gas doctrine left themselves exposed to this new chemical plague. Cook uses fascinating primary sources -- diaries, letters, reminiscences, published memoirs, and the official archival record -- to illustrate the horror of gas warfare for the average trench soldier. As the first chlorine clouds rolled across the fields during the 2nd Battle of Ypres, soldiers were forced to stuff urine-soaked handkerchiefs in their mouths in order to survive. As the gas war evolved, mustard gas plagued the soldiers at the front as it lay active in mud and snow for weeks on end. There was no escape from the pervasive nature of poison gas. Entering the dug-outs, it attacked men when they were least ready. In response, the Canadian Corps had to develop an anti-gas doctrine, a process that Cook describes in full. No Place to Run provides a challenging re-examination of the function of gas warfare in the First World War, including its important role in delivering victory in the campaign of 1918 and its curious postwar legacy. It will be of interest both to historians and military buffs.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".