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Record W4385356938 · doi:10.59962/9780774865739

Nursing Shifts in Sichuan

2021· book· en· W4385356938 on OpenAlexaboutno aff
Sonya Grypma

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2021
Typebook
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsNursingPsychologyMedicine

Abstract

fetched live from OpenAlex

Nursing Shifts in Sichuan illuminates one of the most consequential additions to early-twentieth-century health care in China. In 1943, the Peking Union Medical College (PUMC) was forced to evacuate to the Canadian West China Mission in Chengdu, Sichuan. As part of an extraordinary mass migration to Free China during the Japanese occupation, the refugee PUMC was hosted by the Canadian West China Mission for the next three years. During that period, the PUMC transformed nursing at the Canadian mission, initiating the second university nursing program in the country. Both programs were closed by the new Communist government in 1951. When China reopened degree programs thirty-five years later, it was PUMC alumnae who helped restart them. In the contemporary era of exponential increases in East–West educational exchanges, Nursing Shifts in Sichuan offers both a cautionary tale about the fragility of transnational relations and a testament to the resilience of educated women.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.148
Threshold uncertainty score0.294

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0080.002
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.035
GPT teacher head0.311
Teacher spread0.276 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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