Inequalities in the Age of Universal Health Coverage: Young Chileans with Diabetes Negotiating for Their Right to Health
Bibliographic record
Abstract
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.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".