Surviving the Deluge: British servicemen in World War I
Bibliographic record
Abstract
We estimate the correlates of death and injury in action during the First World War for a sample of 2400 non-officer British servicemen who were born in the 1890s. Among these 13.1% were killed in action and another 23.5% were wounded. Not surprisingly we find that the probability of death or wounding increases with time in the army and was higher among infantrymen. For a serviceman who enlisted in the infantry at the beginning of the war and continued in service, the probability of being killed in action was 29% and the probability of being either killed or wounded in action was 64%. We examine, for ordinary soldiers, the hypothesis that death and injury was more likely for those from higher socioeconomic backgrounds as is suggested in the literature on the 'lost generation'. While such selectivity applies when comparing officers with other ranks it does not apply among the ordinary soldiers who comprised 95% of the army.
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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 | 0.002 | 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 | 0.000 |
| 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".