Recommendations for healthcare providers preparing to work in the Middle East: A Campinha-Bacote cultural competence model approach
Bibliographic record
Abstract
Healthcare providers (HCPs) seeking professional and personal development via an international placement may be enticed to choose the Middle East. With a unique setting and lifestyle rich in culture, tradition, history and religion, the Middle East also offers financial benefits that are more difficult to achieve in one’s own country of origin. Making a successful transition to another culture requires time and preparation to mitigate culture shock. The authors highlight some key recommendations to aid healthcare providers in transitioning to work in the Middle East. These recommendations are based on Campinha-Bacote’s (2002) cultural competence model, with the core tenets of cultural awareness, cultural knowledge, cultural skill, cultural encounter and cultural desire. Guidelines for transitioning to work in the Middle East are applicable to all healthcare providers and to other settings.
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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 | 0.013 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.012 | 0.015 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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".