Nature, costs and benefits of clinical travelling fellowships
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
INTRODUCTION Many trainee doctors and consultants visit clinical units abroad for a period of specialised training. There are a number of grants available from professional and other bodies that provide a variable degree of financial assistance for these doctors but there is little information about the nature, costs and benefits of these training opportunities. METHODS This 11-year analysis of 385 applications to the Hospital Corporation of America International Foundation for financial support to train abroad was coupled with a detailed questionnaire to 127 UK doctors who received an award following an interview process. RESULTS There were an average of 11 annual awards, with a mean value of £5,600 (range: £1,000-£15,000). Trainees (predominantly ST7 and ST8 level) were the main applicants (60%) and award winners (71%). The applications were for variable time periods (from 1 month to over 24 months) and to clinical units throughout the world, the favoured locations being America, Canada and Australia. The surgical specialties were the most sought after for training (77%). There were 4.7 times more male than female applicants. CONCLUSIONS This paper discusses the benefits of travelling fellowships as recorded by grant recipients, three-quarters of whom were applying their overseas clinical experience back in the National Health Service. However, the overall costs of travel frequently exceed doctors' expectations and the need for extra financial support for overseas fellowships is clear.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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