Venezuela's Medical Revolution: Can the Cuban Medical Model be Applied in Other Countries?
Bibliographic record
Abstract
This thesis analyzes the Cuban medical adaptation in Venezuela called Misión Barrio Adentro (MBA) and seeks to answer the question of whether MBA shows promise as a health system that improves medical accessibility for impoverished and marginalized populations. In many cases MBA succeeds by: utilizing a free universal health care system; locating health centres in previously underserved areas; providing medical education scholarships to populations from non-traditional backgrounds; creating a catchment system based on medical accessibility; scaling up the medical workforce to 60,000 community doctors by 2019; and broadening the very praxis of what health means in a Latin American social medicine approach. However, some challenges remain including issues of corruption, fragmentation, and polarization. Issues regarding internal and external migration of Misión Sucre-trained physicians remain to be comprehensively evaluated. However, the capacitation of non-traditional medical personnel, imbued with conciencia, is significant and could well become an important example for other countries.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".