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Record W3093560620 · doi:10.29173/topo31

“Without Tits There Is No Paradise”: Medical Tourism and Cosmetic Surgery in Colombia

2017· article· en· W3093560620 on OpenAlexvenueno aff
Ariel MacDonald

Bibliographic record

VenueTopophilia · 2017
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsMedical tourismCompetitor analysisTourismProduct (mathematics)GlobalizationMarketingBusinessAdvertisingPolitical scienceLaw

Abstract

fetched live from OpenAlex


 
 
 Globalization has allowed for the international flow of information, goods, services and, oddly enough, medical patients. Medical tourism is a growing globalized industry, where the ability to pay and willingness to travel have become prerequisites for medical care. The case study of cosmetic surgery in Colombia reveals that the advertising and information provided online compliments the literature’s descriptions of what is desirable and sought out by medical tourists. Johnston et al. (2012) established that the medical tourist’s interest in the characteristics of the country they visit is minor. However, the underlying national stereotypes or aesthetics may have an unconscious effect of association on the decision of medical tourists. For the medical tourism industry, the national stereotypes and aesthetics are a marketing opportunity to distinguish themselves from their international competitors beyond the comparable affordability of their services. Cosmetic surgery in Colombia indicates that, although medical tourism is a massively globalized industry, the roots and ongoing success of specializations in countries may have cultural origins that are not purely the product of foreign market demands.
 
 

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.082
GPT teacher head0.455
Teacher spread0.372 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2017
Admission routes1
Has abstractyes

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