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Record W2981441912 · doi:10.1111/maq.12555

Inequalities in the Age of Universal Health Coverage: Young Chileans with Diabetes Negotiating for Their Right to Health

2019· article· en· W2981441912 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Anthropology Quarterly · 2019
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsInequalityHealth careNegotiationPrecaritySocioeconomic statusHealth equityRight to healthMedicineEconomic growthEnvironmental healthSociologyGender studiesPopulationEconomicsSocial science

Abstract

fetched live from OpenAlex

While universal health coverage (UHC) has been praised as a powerful means to reduce inequalities and improve access to health globally, little has been said about how patients experience and understand its implementation locally. In this article, we explore the experiences of young Chileans with type 1 diabetes when seeking care in Santiago, within Chile's UHC program, which sought to improve people's access to health care. We argue that the implementation of UHC, within a structurally fragmented health system, did not lead to the promised equitable health care delivery. Although UHC aimed to equitably provide universal care, locally it materialized in heterogeneous configurations forcing individuals into positions of precarity and generating new inequalities. Furthermore, for the young people in the study, UHC intersected with their health insurance and socioeconomic status, impacting on the health care they could access, consequently making diabetes care and management a difficult challenge.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.297
Teacher spread0.283 · 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