Toma de decisiones de los productores sobre la eliminación, retención, selección y aprovechamiento de los árboles y sus efectos sobre la cobertura arbórea de los potreros en fincas de Belén — Rivas, Nicaragua 2003
Bibliographic record
Abstract
La ganadería es un rubro importante de la economía de Nicaragua, con un aporte al producto interno bruto en el período 1990 — 2001 estimado de entre el 4 y el 6 % (http://www.mific.gob.ni/Cluster/end carne.doc). Actualmente, 13 millones de están dedicadas a la ganadería, lo que significa el del territorio nacional (Pomareda, 1998). En departamento de Rivas, predomina la explotación ganadera extensiva con un manejo tradicional de doble propósito, leche y Carne, mayoritariamente en manos de pequeños y medianos productores. Estas fincas aún mantienen una variada cobertura arbórea que incluye bosques, bosques riparios, charrales, cercas vivas y árboles dispersos en los potreros, aunque las densidades y la composición varían de una finca a otra (López, et al. , 2003).
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".