'Victims of War'? Mentally-Traumatized Soldiers and the State, 1918-1939
Bibliographic record
Abstract
In 1922, a French military nurse suffering from mental exhaustion applied for a disability pension, stating that "I left for the front in superb health. . . .Now I am condemned to my bed and total rest."Her pension, she wrote, had been "painfully paid for." 1 Veterans of the First World War who suffered from psychological trauma, as well as their families, neighbors, and former comrades, agreed with her argument.Before Pension Boards and Appeals Courts, they maintained that the war was the only possible explanation for often severe, but frequently delayed, mental distress.Consequently, as the father of one incapacitated veteran informed the Pension Board, its sole duty was to decide immediately on the pension that "is owed to my son and the treatment to which he has a right." 2 In the complex processes that determined which veterans would receive a pension for mental trauma or "war neurosis," such declarations constituted an important counterweight to the
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".