'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
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 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 | 0.010 | 0.003 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".