Acculturation and socialization: voices of internationally educated nurses in Ontario
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.
Bibliographic record
Abstract
BACKGROUND: This paper describes a study that explores the experiences of internationally educated nurses (IENs) in their efforts to gain entry to practice as Registered Nurses (RNs) in the province of Ontario, Canada. AIM: The aim was to uncover, in part, the issues related to professional nursing credentialling. METHODS: This study was guided by a biographical narrative (qualitative) research methodology. A convenience sample of 12 IEN students volunteered for this study representing the Philippines, Mainland China, Korea, Ukraine and India. FINDINGS: The findings were that the IENs progress through a three-phase journey in their quest for licensure in Ontario. These phases include: (1) hope - wanting the Canadian dream of becoming an RN in Ontario; (2) disillusionment - discovering that their home-country nursing qualifications do not meet Ontario RN entry to practice; and (3) navigating disillusionment - living the redefined Canadian dream by returning to nursing school to upgrade their nursing qualifications. CONCLUSIONS: Professional regulatory nursing bodies and nursing educators, as well as practising nurses, must be aware of the potentially confusing and unpleasant processes IENs go through as they qualify for the privilege of practising nursing in Ontario.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it