MétaCan
Menu
Back to cohort
Record W2305961377

What Canadian Family Physicians Need to Know About Medical Tourism

2011· article· en· W2305961377 on OpenAlex
Valorie A. Crooks, Jeremy Snyder

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSummit (Simon Fraser University) · 2011
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsNeed to knowTourismPublic relationsBusinessPolitical scienceComputer scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Broadly speaking, medical tourism involves patients intentionally going abroad to pursue medical services outside of formal cross-border care arrangements that are typically paid for out-of-pocket. Orthopedic, dental, cosmetic, transplant, and other surgeries are offered by hospitals around the world looking to attract international patients, with such procedures often available for purchase as part of “package deals” that include recovery stays at affiliated tourist resorts or hotels. In this commentary we synthesize what we believe are the 10 most important issues of concern for Canadian family physicians regarding Canadian patients’ involvement in medical tourism. In effect, our intent is to reignite discussion on the relevance of medical tourism to Canadian family medicine that was started by the 2007 commentary by Leigh Turner (Can Fam Physician 2007;53:1639-41) and to use this as an opportunity to inform Canadian family physicians about key issues of current concern. We believe it is particularly timely to reignite discussion about medical tourism in the Canadian context given recent reports of a new “super-bug” (NDM-1 [New Delhi metallo-beta-lactamase]) having been contracted by some Canadian medical tourists who underwent surgery in India in 2010.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.647
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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.

Opus teacher head0.035
GPT teacher head0.306
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it