Case Study: Medical Tourism—Recovery, Rainforests, and Restructuring: Opportunities for Hotels Bridging Healthcare (H2H)
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
This chapter looks at medical tourism in Costa Rica. The role that a tropical rain forest plays in providing a natural and relaxed setting is explored. The relationship between a relaxed rain forest setting and other more main stream medical tourism settings and patient recovery is discussed. Fast-growing medical tourism in Costa Rica owes its existence to tourists from the United States and Canada traveling primarily to get medical and surgical procedures done abroad. Traditionally, the procedures that have been popular with medical tourists in Costa Rica have been cosmetic and dental treatments. But with growing standards of medical care, there is rapid medical tourism demand for various other surgeries and medical procedures. Many unique factors make Costa Rica healthcare a preferred medical travel destination. Medical treatments are usually about 50-70" cheaper than in the United States and no one has to wait their turn for surgery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.007 |
| 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