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Record W2624454570 · doi:10.7202/1034840ar

Medical Modernization: A Macro Level Conceptualization of Medical Care Programs

2016· article· en· W2624454570 on OpenAlexvenueno aff
David E. Hayes‐Bautista, Meredith Minkler

Bibliographic record

VenueInternational Review of Community Development · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsModernization theoryConceptualizationDisadvantagedIdeologyHealth carePopulationPoliticsSociologyPolitical scienceEconomic growthMedicineEconomicsLawComputer scienceEnvironmental health

Abstract

fetched live from OpenAlex

The authors seek to conceptualize the assumptions underlying the theoretical models of medical modernization. They note that the implantation of a rational and scientific health care system has often meant simply copying western models. The application of medical modernization models is examined in relation to marginal and disadvantaged groups in the United States as well as developing countries. The authors attempt to identify the general characteristics of these programmes and to evaluate the outcomes. The main outcomes of the transplantation of this model are seen as: For the purposes of comparison, the authors briefly examine another model which they term "health development". This models indicates that a general improvement in the health of the population depends as much on economic, political, ideological and technological factors as health care itself. Drawing on examples from China and Cuba, the authors note the importance of a more equitable distribution of goods, power and participation in the process of improving health. They conclude by stressing the necessity to carefully wegh the effects of importing modern medical practices.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.123
GPT teacher head0.348
Teacher spread0.225 · 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 teacher head, not a consensus.

Study designOther design
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
Published2016
Admission routes1
Has abstractyes

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