Chronic post-amputation pain and blast injury: An analysis of British First World War Veterans’ pension records, 1914-85
Bibliographic record
Abstract
LAY SUMMARY The First World War created the largest group of amputees in history. There were over 41,000 amputee Veterans in the UK alone. Recent studies estimate that over two-thirds of amputees will suffer long-term pain because of their injuries. Medical files for the First World War have recently been released to the public. Despite the century between the First World War and the recent Afghanistan conflict, treatments for injured soldiers and the most common types of injuries have not significantly changed. A team of historians, doctors, and amputee Veterans have collaborated to investigate what happened next for soldiers injured in the war and how their wounds affected their postwar lives, and hope that looking back at the First World War and seeing which treatments worked and what happened to the amputees as they got older (e.g., if having an amputation put them at risk of other illnesses or injuries) can assist today’s Veterans and medical teams in planning for their future care.
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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 | 0.004 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".