Nurses Across Borders: Displaced Russian and Soviet Nurses after World War I and World War II
Bibliographic record
Abstract
Russian and Soviet nurse refugees faced myriad challenges attempting to become registered nurses in North America and elsewhere after the World War II. By drawing primarily on International Council of Nurses refugee files, a picture can be pieced together of the fate that befell many of those women who left Russia and later the Soviet Union because of revolution and war in the years after 1917. The history of first (after World War I) and second (after World War II) wave émigré nurses, integrated into the broader historical narrative, reveals that professional identity was just as important to these women as national identity. This became especially so after World War II, when Russian and Soviet refugee nurses resettled in the West. Individual accounts become interwoven on an international canvas that brings together a wide range of personal experiences from women based in Russia, the Soviet Union, China, Yugoslavia, Canada, the United States, and elsewhere. The commonality of experience among Russian nurses as they attempted to establish their professional identities highlights, through the prism of Russia, the importance of the history of the displaced nurse experience in the wider context of international migration history.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".