Bibliographic record
Abstract
A principios de este milenio el gobierno mexicano declaró el tema del agua como un problema de interés nacional. Aunque en términos absolutos el país no carezca de agua, la desigualdad en la repartición de este recurso en el territorio, su contaminación y la falta de mantenimiento de las infraestructuras hidráulicas son responsables de su escasez. Este artículo propone un estudio de la gestión del agua en México, donde se tengan en cuenta la influencia que el contexto económico y el grado de dependencia internacional han tenido en la elaboración de las políticas públicas y los modelos de manejo del agua. Considerada tradicionalmente como un bien común, el agua había sido administrada durante largo tiempo por organismos públicos responsables de velar por el interés general de la población. Sin embargo, desde 1992 otros modelos de manejo del recurso basados en la descentralización administrativa, la democratización de la toma de decisiones, al igual que la privatización del recurso, han sido impulsados por los organismos económicos internacionales.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".