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Record W2620696160 · doi:10.46743/2160-3715/2017.2768

Return to Nursing: A Meta-Synthesis of Academic Bridging Programs’ Effect on Internationally Educated Nurses

2017· article· en· W2620696160 on OpenAlexaffabout
Edward Cruz, Rhea Faye D. Felicilda‐Reynaldo, C. Patricia Mazzotta

Bibliographic record

VenueThe Qualitative Report · 2017
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of VictoriaCentennial College
Fundersnot available
KeywordsBridging (networking)GlobeNursingInclusion (mineral)PsychologyGrounded theoryMedical educationPedagogySociologyQualitative researchMedicineSocial psychologySocial science

Abstract

fetched live from OpenAlex

This meta-synthesis explored the effect of bridging programs on internationally educated nurses (IENs). Eight papers that met the inclusion criteria were selected for this review. There were 437 participants from eight studies who come from different parts of the globe and who settled in either Australia, Canada, New Zealand, or the United Kingdom. Using a grounded theory approach for data analysis, four effects of bridging programs on IENs were identified. These are: (a) the concepts from the regulatory body, the client-centred care; (b) do something better for us, for our future; (c) we have to learn English; and, (d) faculty, program coordinator and preceptors that were willing to work with them. These effects were defined and explored in light of the study samples selected for this study.

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)0.009
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.285
GPT teacher head0.624
Teacher spread0.339 · 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 designQualitative
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

Citations11
Published2017
Admission routes2
Has abstractyes

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