“Anxious to Be Restored”: Managing War Neuroses in Interwar Canada
Bibliographic record
Abstract
Using newly available records from the Veterans Affairs Pension Files, doctors’ notes and Veterans’ Hospital records, this article explores how war neurosis was simultaneously a personal and public event. Veterans were required to describe symptoms that breached masculine ideals to demonstrate that their disability impacted their daily lives. Ex-servicemen were caught in a delicate balance between following the soldier ideal and describing their symptoms accurately. War neurosis not only impacted veterans in the private examining room of the pension administrator it also affected their ability to find and maintain employment and the lives of their family members. The more public their symptoms became, the more difficult it was to contain their diagnosis. Family members worked tirelessly to assist returned men with their symptoms and took on new responsibilities in the home. When these symptoms could not be managed in the home, families and veterans began to look for new options, such as permanent hospitalisation at Westminster Hospital in London, Ontario, an institution specifically created for veterans with mental illnesses.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.031 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".