The lived experience of internationally educated nurses with developing intercultural competence in Ontario after watching communication vignettes
Bibliographic record
Abstract
Internationally educated nurses (IEN s) are nurses who obtain their nursing license outside of Canada. IENs face many challenges when trying to transition into the Canadian healthcare system. This is largely due to their misunderstanding intercultural competence (ICC). The purpose of this study was to understand the meaning of the IENs' lived experiences with developing ICC. Forty-six participants took part in focus group discussions based on culturally specific vignettes developed in congruence with the College of Nurses of Ontario Standards of Practice. Using hermeneutic phenomenology and secondary analysis three themes emerged from the data: navigating the headwater, propelling in a new direction and mapping the way. The above themes led to the emergence of the essential theme- confidence. The IENs rely on the confidence engrained in their 'old' knowledge in order to understand and develop their ICC. This study addresses the gap in research relating to IENs transition into Canadian nursing.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.013 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".