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Record W2912277778 · doi:10.18192/aporia.v10i2.4121

Unpacking “two-way” workplace integration of internationally educated nurses

2019· article· en· W2912277778 on OpenAlexfundvenueaboutno aff
Zubeida Ramji, Josephine Etowa, Isabelle St‐Pierre

Bibliographic record

VenueAporia · 2019
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
FundersUniversity of Ottawa
KeywordsUnpackingDiversity (politics)Focus groupEquity (law)Health careTheme (computing)Qualitative researchSociologyQualitative propertyPublic relationsPsychologyNursingPolitical scienceMedicineSocial science

Abstract

fetched live from OpenAlex

This paper presents findings from a qualitative case study that explored long term integration of internationally educated nurses in an Ontario healthcare facility. Using critical social theory as the philosophical underpinnings for this research, we selected the case based on the hospital’s history of employing and supporting internationally educated professionals. Data sources included: documents review, twenty-eight interviews, socio-demographic survey and five focus groups involving IENs and other stakeholders. An overarching theme points to a ‘two-way’ notion of workplace integration whereby efforts are required on the part of the employer as well as the IENs. An in-depth analysis of the data reveals sub-processes of two-way integration: respecting diversity and difference, adopting inclusive practices and striving to achieve equity. Challenges in achieving two-way integration are discussed. Implications for nursing leaders to tap into IENs’ diverse talents for the benefit of their local healthcare systems are highlighted.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.445
Teacher spread0.409 · 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; both teacher heads agree on what is shown here.

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

Citations19
Published2019
Admission routes3
Has abstractyes

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