Migration Of Psychiatric Trainees In Italy
Bibliographic record
Abstract
Background and Aims:In Europe high number of psychiatric trainees have ever considered moving to another country, especially for salary differences. Although in Italy workforce migration is widespread in different fields, little is known about migration of health professionals at an early career stage.This study aims to identify experiences and attitudes towards international migration among Italian psychiatry trainees.Methods:An online survey was conducted among psychiatry trainees from Italy as part of the EFPT Brain Drain Research study.Results:Of 121 psychiatric trainees surveyed across Italy, the majority has u2018everu2019 considered living abroad. Still, just a quarter took u2018practical stepsu2019 towards migration, with male trainees considering migration more than female. Few trainees had ever had a long-term migratory experience or a short-term mobility experience. Academic was an important reason for trainees to leave and personal a key reason for trainees to stay. Across Italy we found wide differences concerning their 5 year plan: the majority of trainees in the south believe they will be working abroad, whereas most of trainees in the north and central part of the country think they will be working in Italy.Conclusions:Many Italian psychiatric trainees have considered moving to another country, especially for academic reasons. These findings call to improve opportunities, particularly in the south part of the country, and help to better understand the social and demographic variations in Italy that may play a role in these migratory flows.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.065 | 0.029 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.020 |
| Open science | 0.013 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.007 |
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; both teacher heads agree on what is shown here.
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".