Pobreza y estado nutricional : un estudio de caso en escuelas primarias de la provincia de Neuquén
Bibliographic record
Abstract
La correspondencia entre pobreza y déficit nutricional está ampliamente establecida. Los principales problemas nutricionales en niños que asisten a la escuela pública primaria en Argentina son el déficit de talla y el sobrepeso. La comparación entre las líneas de pobreza en cinco escuelas primarias de Neuquén y los valores de talla y peso de sus alumnos exhiben una correlación positiva en el sentido de que los problemas nutricionales se incrementan conforme aumenta la pobreza. Talla baja, sobrepeso y obesidad predominan en los sectores sociales pobres o indigentes, coincidiendo con mayores porcentajes de sobre-edad. El riesgo de obesidad es importante en todos los grupos. Las diferencias aumentan según el nivel de ingreso familiar, salvo para un caso que puede ser explicado en función de la presencia de una mayor cobertura de planes de asistencia social.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".