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Record W2148902952 · doi:10.1136/jme.2009.032789

The ethical physician encounters international medical travel

2010· article· en· W2148902952 on OpenAlexafffund
G. K. D. Crozier, Françoise Βaylis

Bibliographic record

VenueJournal of Medical Ethics · 2010
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsDalhousie University
FundersCanadian Institutes of Health Research
KeywordsPoint (geometry)Public relationsHealth careTravel medicineMedical careBusinessMedicinePolitical scienceNursingLaw

Abstract

fetched live from OpenAlex

International medical travel occurs when patients cross national borders to purchase medical goods and services. On occasion, physicians in home countries will be the last point of domestic contact for patients seeking healthcare information before they travel abroad for care. When this is the case, physicians have a unique opportunity to inform patients about their options and help guide them towards ethical practices. This opportunity brings to the fore an important question: What role should physicians in more-developed home countries play in promoting or constraining international medical travel towards less-developed destination countries? In our view, critical attention to the decision spaces of patients-defined by the personal circumstances, socio-cultural cues, and legal constraints that inform decision-making-is a useful starting point for evaluating the proper response of physicians to various forms of international medical travel.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.016
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.049
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0130.041
Scholarly communication0.0090.007
Open science0.0010.009
Research integrity0.0120.012
Insufficient payload (model declined to judge)0.0020.001

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 head0.080
GPT teacher head0.527
Teacher spread0.448 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations72
Published2010
Admission routes2
Has abstractyes

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