Perceptions of the Ethics of Medical Tourism: Comparing Patient and Academic Perspectives
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
Medical tourism is a practice, whereby individuals travel across national borders with the intention of receiving medical care. Medical tourists are motivated to travel abroad by a number of factors, including the affordability of care abroad, access to treatments not available at home, and wait times for care at home. In this article, we share the findings of interviews conducted with 32 Canadian medical tourists with the aim of developing a better understanding of medical tourism, the ethical issues it raises for public health within Canada and other source countries for medical tourists, and to identify research gaps and policy responses to this practice. While patient and academic perspectives overlap in several regards, we suggest areas in which academic consideration of the ethical issues raised by medical tourism can be informed by patient perspectives.
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.013 |
| Insufficient payload (model declined to judge) | 0.000 | 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