Public–private partnerships for universal health coverage? The future of “free health” in Sri Lanka
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.
Bibliographic record
Abstract
Sri Lanka reports impressive health indicators compared to its peers in the South Asian region. Maternal and infant mortality are relatively low, and several intractable communicable diseases have been eliminated. The publicly financed and delivered "free" healthcare system has been critical to these health achievements. Placing the country's healthcare system in historical context, this commentary analyses the contradictions and political tensions surrounding Sri Lanka's 2018 Universal Health Coverage (UHC) policy, with attention to the Ministry of Health's plans for public-private partnerships (PPP). As economic exigencies and private interests increasingly erode the 1951 "Free Health" policy, this commentary calls for a re-envisioning of UHC that can meet people's aspirations for health and social justice.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it