Veiled Concerns : Social and Professional Tensions of Voluntary Aid Detachments and Military Nurses during the 1st World War
Bibliographic record
Abstract
Webcast sponsored by the Irving K. Barber Learning Centre and hosted by the UBC School of Nursing and the Consortium for Nursing History Inquiry. With only a brief training and minimal hospital experience, the VADs entered the unfamiliar world of the military hospital to work alongside the qualified Canadian military nurses at home, and British military nurses overseas, performing tasks that ranged from scrubbing floors and cleaning bedpans, to applying dressings and foments, and even assisting in the operating theatres. In this discussion Linda Quiney examines the boundaries that defined the VADs’ place at the bedside, the contested space of the wartime hospital wards, and the challenges they presented to the authority of the nursing professionals.
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 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 | 0.012 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.069 | 0.036 |
| Scholarly communication | 0.022 | 0.011 |
| Open science | 0.003 | 0.021 |
| Research integrity | 0.007 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 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".