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Record W2547731634 · doi:10.1177/084456211404600303

A Scoping Review of the Literature on Internationally Educated Nurses in Canada: Mapping a Research Agenda

2014· review· en· W2547731634 on OpenAlexaffvenueabout
Christine L. Covell, Elena Neiterman, Ivy Lynn Bourgeault

Bibliographic record

VenueCanadian Journal of Nursing Research · 2014
Typereview
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsMcMaster UniversityUniversity of OttawaCanadian Institutes of Health Research
Fundersnot available
KeywordsDocumentationWorkforceImmigrationHumanitiesPolitical scienceLibrary scienceSociologyArtComputer science

Abstract

fetched live from OpenAlex

The purpose of this scoping review was to map key themes in the Canadian literature on the professional integration of internationally educated nurses (IENs), identify the types and sources of and gaps in evidence, and offer recommendations for research. The work was guided by a 6-step methodological framework for scoping reviews. The search and selection of academic and grey literature for the period 2000-13 resulted in a sample of 157 papers for full-text screening. Themes derived from the literature reflect stages of IENs' professional integration: pre-immigration and early arrival, professional recertification, workforce integration, and workplace integration. Data were extracted, coded, and collated using electronic charts. Numerical and qualitative thematic summaries were used to analyze the data. Recommendations for research are as follows: create data systems to track IEN immigration and integration; determine the effectiveness of programs and policies for IENs; and examine the influence of language proficiency on professional recertification, workplace integration, and patient safety.

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 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)0.016
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.404
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.010
Insufficient payload (model declined to judge)0.0000.000

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 head0.400
GPT teacher head0.627
Teacher spread0.227 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations12
Published2014
Admission routes3
Has abstractyes

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