Filling the Gap between Metropoles and Peripheries: Insights about Hospital Standardization from the British Columbia Hospital Association Conferences, 1918–30
Bibliographic record
Abstract
In this study, we examine British Columbia's Hospital Association conference records (1918-31) to understand how place, gender, and profession shaped debates about hospital standardization during the interwar period. The conference records reveal that hospital standardization was conceptualized as the conformity of smaller, peripheral hospitals to larger metropolitan ones. Arguments about how to best address the gaps in small hospitals were often directed to elite nursing leaders, who suggested improved nursing education as a solution. Hospital affiliation was recommended to ensure adequate training for rural nurses by moving trainee nurses from rural to urban hospitals during the last year of their education. Yet the way that affiliation was conceived was more aligned with the professional goals of the nursing elite, rather than the needs of rank-and-file nurses in small hospitals. These ideas ultimately worked to support the goals of standardization, but obscured the divergent needs of small community hospitals.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.027 | 0.016 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| 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".