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Record W2063091284 · doi:10.1177/1527154406292854

Innovations in Health Care Delivery: Responses to Global Nurse Migration—A Research Example

2006· article· en· W2063091284 on OpenAlex
Linda O’Brien‐Pallas, Sping Wang

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

VenuePolicy Politics & Nursing Practice · 2006
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of TorontoCanadian Foundation for Healthcare ImprovementCanadian Institutes of Health Research
Fundersnot available
KeywordsOvertimeDemographicsNursingWork (physics)PerceptionMental healthVerbal abuseWork environmentHealth careMedicinePsychologyJob satisfactionEnvironmental healthHuman factors and ergonomicsPoison controlPsychiatryPolitical science

Abstract

fetched live from OpenAlex

Using data from a large survey of Canadian nurses, we examined how internationally born nurses (IBNs) in Canada experience their work environment. There are significant differences in demographics and in work status and practice environment. Significantly more IBNs are members of visible minorities than are their Canadian-born counterparts. IBNs work more hours, including more overtime, and are more likely to experience physician, verbal, and emotional abuse. Self-rated health status was worse for IBNs in physical and mental health. Changes are needed to improve the nursing work environment and nurses' perception of the effectiveness of care, and to improve their health status.

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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.152
GPT teacher head0.590
Teacher spread0.438 · 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