IMPACTOS Y REGULACIONES AMBIENTALES DEL ESTIÉRCOL GENERADO POR LOS SISTEMAS GANADEROS DE ALGUNOS PAÍSES DE AMÉRICA ENVIRONMENTAL REGULATIONS AND IMPACT OF MANURE GENERATED BY LIVESTOCK OPERATIONS IN SOME AMERICAN COUNTRIES
Bibliographic record
Abstract
Manure generated by livestock operations can cause negative impacts on the environment if there is no control of its storage, transport or application. Manure emits greenhouse gases into the atmosphere, and micro and macro nutrients accumulate in soil and bodies of surface water. Today, in the USA specific legislation exists for management and deposition of animal excreta that impact bodies of water, the soil and the atmosphere, which is supervised and certified by the Environmental Protection Agency (EPA). In Canada the regulations for management and deposition of animal manure are no less rigorous. In Argentina, Chile, Colombia and Mexico regulation and government vigilance of the use and management of animal mature is scarce and confusing, specifying only certain norms for discharges of pollutants into water, while giving less importance to emissions into the atmosphere and soil, and there are no clear specifications related to animal manure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".