Taller de Epidemiología Social en Centroamérica: AvancedeunaPolíticaRegional en la Investigación para la Salud
Bibliographic record
Abstract
La Epidemiología social tiene como remisa principal, que la distribución de la salud y la enfermedad se determinen a través de las interacciones sociales y actividades colectivas humanas (Oakes, & Kaufman, 2006). Para ello se requiere la comprensión de las fortalezas, oportunidades, debilidades y amenazas que cada sociedad enfrenta; así como también el conocimiento relacionado a las características sociales y estructurales. La Epidemiología Social busca comprender la influencia de estos factores en la salud de la población, para entender y dirigir los mecanismos causales relevantes a la salud. De este modo, la salud pública se beneficia por medio del enfoque de Epidemiologia Social, el cual provee información esencial para comunicar diálogos de pólizas y políticas tanto aquellos que se encuentra entre los sectores de salud y desarrollo, como los de atención médica, prevención primaria y el desarrollo y aplicación del nuevo conocimiento (Krieger, 2001).
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".