Análisis comparativo de las normas para las operaciones de ganadería intensiva en Canadá, Estados Unidos y México
Bibliographic record
Abstract
En los dos decenios pasados las actividades ganaderas en America del Norte se han transformado de un sector caracterizado por un grupo de productores relativamente pequeno en otro dominado por grandes instalaciones que crian miles de animales. Este crecimiento ha llevado a un nuevo conjunto de efectos y preocupaciones ambientales exclusivas de la industria ganadera. Mientras que la regulacion de las actividades agropecuarias ha sido tradicionalmente responsabilidad de las autoridades estatales, provinciales o locales, todos los niveles de gobierno, desde el municipal hasta el federal, han tenido que batallar con los efectos ambientales secundarios de estas nuevas instalaciones concentradas. El presente informe estudia los requisitos ambientales vigentes para estas “operaciones de ganaderia intensiva” (OGI) en Canada, Estados Unidos y Mexico y hace recomendaciones sobre la forma en que los efectos ambientales de las OGI en America del Norte pueden mitigarse.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 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".