Amenaza y vulnerabilidad por basurales a cielo abierto. Aproximación al estado de situación en la provincia de Buenos Aires, Argentina
Bibliographic record
Abstract
Los basurales a cielo abierto constituyen un problema ambiental debido a la falta de control en la disposición de residuos sólidos urbanos. Estos sitios contaminan suelo, agua y aire, y exponen a las poblaciones que habitan en su cercanía a amenazas a la salud. Tomando como punto de partida la teoría social del riesgo, este artículo busca analizar la vulnerabilidad y amenaza por basurales a cielo abierto en la provincia de Buenos Aires, y hacer una primera aproximación al riesgo. El análisis realizado permitió describir las condiciones de vulnerabilidad y amenaza ofreciendo una primera aproximación al análisis del riesgo por municipio. Los resultados muestran que gran parte de la población de la provincia de Buenos Aires se encuentra en condiciones de vulnerabilidad media a alta, especialmente en áreas con mayor concentración de basurales a cielo abierto. La integración de indicadores georreferenciados en un modelo de análisis permitió realizar un diagnóstico preliminar, destacando la necesidad de políticas públicas que aborden tanto la gestión de residuos como la reducción de la vulnerabilidad social. Abstract Open-air landfills (Basurales a Cielo Abierto -BCA-) in Buenos Aires Province represent a significant environmental issue due to inadequate control over solid urban waste disposal. These sites expose local populations to health hazards by contaminating soil, water, and air. Drawing on social risk theory, this article aims to analyze the vulnerability and threats posed by open-air landfills in the province, providing a preliminary risk assessment. The analysis reveals that a large portion of the population lives in moderate to high vulnerability, particularly in areas with the highest concentration of open-air landfills. Using geo-referenced indicators within an analytical model, the study offers a diagnostic that underscores the need for public policies addressing both waste management and social vulnerability reduction
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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".