“Stand up and Be Counted”: Nursing at the Calgary General Hospital after the Second World War
Bibliographic record
Abstract
The post-second World War period of reconstruction was a time of ferment for Canadian hospitals, and consequently, for hospital nursing work and education. Demand for hospital services, especially nursing, increased dramatically. At the same time, fewer young women were willing to enroll in hospital nurse-training programs. This article is a case study of how one voluntary western hospital - the Calgary General Hospital - grappled with the post-second World War shortage of both graduate nurses and student nurses, at a time of transition from a small, cottage-type hospital into a large, complex urban institution. The analysis offers insights into today's economically driven and politically controlled health care delivery system restructuring, while illuminating the contributions of one of Canada's least known nurse leaders - Gertrude May Hall.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.070 | 0.027 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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".