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Record W2016421746 · doi:10.1891/1062-8061.22.13

Nurses Across Borders: Displaced Russian and Soviet Nurses after World War I and World War II

2013· article· en· W2016421746 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNursing History Review · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Toronto
FundersBarbara Bates Center for The Study of the History of Nursing, University of PennsylvaniaGovernment of Jiangxi ProvinceIrish Research CouncilFisher Center for Alzheimer's Research Foundation
KeywordsWorld War IIRefugeeContext (archaeology)ChinaPrismNarrativePolitical scienceSpanish Civil WarIdentity (music)Oral historyGender studiesEconomic historySociologyLawHistoryAnthropology

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.721
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.026
GPT teacher head0.272
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it