Bibliographic record
Abstract
Aachen (Germany) 3, 158 'Abenomics' 289 abortion and accounting for trade in healthcare 97-8 and circumvention tourism 350, 351-2, 353-6, 358 and marketing of health services 166 and rise of modern medicine 5 and South African healthcare system 328 ACA (Patient Protection and Affordable Care Act, 2014) 247-8, 250-51, 252-4, 255, 315 access to healthcare and aftercare 10 democratization of 123-4 and dental tourism 405 ethical issues 342 European retirement migration 258-67 and Latin American patient mobility 313-20 and migration 238, 240-41 and online information 10 US Mexican-American population 247-55 accountability 105, 127, 160, 383, 405-6, 409, 461 accounting for trade in healthcare borderline issues 97-8 collective healthcare services 96-7 concepts and definitions of trade 93-4 data sources 93, 98-102, 103 enterprise/business surveys 99-100 and health insurance 96, 100-101 and illegal procedures 97-8 imports/exports 92, 93, 94-7, 98-9, 102-3 individual healthcare services 95-6 intermediate/final use distinctions 98 medical goods 96 reporting of trade 102-3 retail industry data 100 SHA framework 92-103 tourist surveys 97, 99, 100, 101 accreditation/certification of healthcare providers benefits to medical tourism 377 and big medical institutions 134 characteristics of accreditation systems 371-2 data on medical tourism 371, 376 definitions of accreditation 370-71 and economic theory 87, 89 and facilitator industry 148, 150 and geography of responsibility 123, 125 and global competitiveness 62 and government intervention 80 and growth of India's medical tourism industry 297 and healthcare regulation 370, 372-3 international external evaluation organisations 373-6 and internationalization of healthcare 11 ISO certification 87, 373 Japanese healthcare system 289, 292-3 and marketing of health services 148, 150, 165, 189 Middle Eastern medical tourism development 309 and patient safety 371-4, 377 performance indicators 370 and quality of care 87, 371-6 reach of information 376 and supply and demand 73, 74, 189 Thai healthcare system 268, 269, 283 Turkish healthcare system 333-4 and Western medical culture 221 acculturation 219, 221 ACHSI (Australian Council on Healthcare Standards International) 374 ACI (Accreditation Canada International) 373-4 Activity Plan for Tourism Strategy of Turkey (2007-2013) 335 actual WTT (willingness to travel) 48 'aesthetic medicine' 428 affordability (healthcare-seeking motive) 231-2, 234 Afghanistan 300, 302, 303 aftercare and access to healthcare 10 bariatric surgery tourism 437-8, 439 and clinical interactions 456-7 and cosmetic surgery tourism 426-7 demand-side perspectives 184, 186, 188 and dental tourism 403, 406, 409 and migration 233-4 and negative externality 78-9, 81 online information 174, 179, 180, 181 and outcomes of medical tourism 464-5, 469-70
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.794 | 0.684 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".