Professional Satisfaction and Desire to Emigrate among Nigerian Physiotherapists
Bibliographic record
Abstract
PURPOSE: Physiotherapists from developing countries are attracted to developed countries, where health personnel are in high demand. We investigated Nigerian physiotherapists' desire to emigrate, explored the possible relationship between job satisfaction and emigration, and elucidated common reasons why physiotherapists emigrate to other countries. METHODS: Nigerian physiotherapists (n=181) were surveyed using a three-part questionnaire. Part 1 elicited socio-demographic information; part 2 assessed satisfaction with work; and part 3 assessed the importance of some possible reasons that physiotherapists choose to emigrate. RESULTS: Close to half of the physiotherapists surveyed have plans to emigrate, but no relationship exists between job satisfaction level and desire to emigrate. An overwhelming majority felt that better or more realistic remuneration was the most important reason for them to leave their country, whereas age and practice experience were inversely related to physiotherapists' desire to emigrate. CONCLUSION: Policies aimed at mediating "brain drain" should take age and experience into consideration and should be geared toward creating opportunities for career advancement and continuing education.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".