Evaluating the Effectiveness of a Multi-component Intervention to Improve Health in an Inner-city Havana Community
Bibliographic record
Abstract
The ecosystem approach to human health was applied to guide an evaluation of the effectiveness of a multi-component intervention to improve quality of life and health in an inner-city Havana community. A pre- versus post-intervention analysis was carried out in the study community of Cayo Hueso, and Colon, a concurrent comparison community. A household survey of 1,703 individuals was conducted in 30 neighborhoods, equally divided between the two areas. Greater improvements in housing, local infrastructure, and exposure to risk were perceived to have occurred in the targeted community, more so from the perspective of benefit to the community rather than with regard to the residents' own households. Improvements in some lifestyle-related risk factors and self-rated health in the most vulnerable subgroups (elderly and adolescents) were also achieved. Overall, the Cayo Hueso Plan was considered highly successful in improving the quality of life amid difficult circumstances. Its lessons are being embraced by other communities.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".