MétaCan
Menu
Back to cohort
Record W2334373209 · doi:10.3928/00220124-20120615-62

Internationally Educated Nurses’ Experiences With an Integrated Bridge Program

2012· article· en· W2334373209 on OpenAlex

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.

Bibliographic record

VenueThe Journal of Continuing Education in Nursing · 2012
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsCentennial College
Fundersnot available
KeywordsBridge (graph theory)Economic shortageNursingWork (physics)Nursing shortageHuman resourcesHealth careResource (disambiguation)Medical educationPsychologyMedicineNurse educationPolitical scienceEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Countries around the world are experiencing a current and projected ongoing shortage of nurses. Internationally educated nurses are an underused, valuable human resource that could reduce the nursing shortage. A bridge program, with several innovations bundled into one program, was developed specifically to meet the needs of internationally educated nurses. METHODS: A qualitative study using interviews was conducted with internationally educated nurses. Data were collected in the first semester, at the end of the program, and after nurses started work. RESULTS: Although knowledge of the health care system is critical, an understanding of the adopted country's educational philosophy is also important. Occupation-specific language training and ample clinical time are essential for program success and for helping participants to secure employment. CONCLUSION: "One-stop shopping" bridge programs that provide a range of curricular supports for internationally educated nurses are essential to support this pool of highly skilled nurses in preparing for practice in their new home.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.028
GPT teacher head0.477
Teacher spread0.449 · 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