Overcoming strangeness and communication barriers: a phenomenological study of becoming a foreign nurse
Bibliographic record
Abstract
BACKGROUND: This paper presents a study that explored the lived experience of foreign nurses working at hospitals in Iceland. AIM: The aim was to generate an understanding of this experience both for local and international purposes. METHOD: The methodology that guided the study was the Vancouver school of doing phenomenology. Sampling was purposeful and consisted of 11 registered nurse from seven countries. The data were collected in dialogues; the analyses were thematic. FINDINGS: The findings are presented in five main themes that describe the essence of the experience with the overall theme of 'Growing through experiencing strangeness and communication barriers'. The first theme portrays how the nurses met and tackled the multiple initial challenges. One of the challenges, described in the second theme, was becoming outsiders and needing to be let in. The third theme explores the language barrier the nurses encountered and the fourth theme the different work culture. The fifth then illuminates how the nurses finally overcame these challenges and won through. CONCLUSION: The findings and their international context suggest the importance of language for personal and professional well-being and how language and culture are inseparable entities.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".