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 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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".