Evaluación de impacto ambiental: Castaña en la Reserva Nacional de Tambopata
Bibliographic record
Abstract
Con la finalidad de contribuir al desarrollo económico y empresarial de diversas comunidades del ámbito de las áreas protegidas y/o sus zonas de amortiguamiento, MEDA/Perú ejecuta el proyecto de Encadenamientos Productivos Sostenibles en Áreas Naturales Protegidas en el Perú, en cuatro áreas priorizadas (Reserva Nacional Tambopata, Parque Nacional Bahuaja Sonene, Reserva Nacional Salinas y Aguada Blanca y Santuario Nacional Los Manglares de Tumbes), financiado por el Fondo Multilateral de Inversiones (FOMIN) del Banco Interamericano de Desarrollo (BID) y por MEDA/Perú. El presente documento presenta los resultados de la Evaluación Ambiental de las actividades castañeras en la Reserva Nacional Tambopata. Dicha evaluación ha sido desarrollada con la finalidad de compatibilizar el desarrollo de los negocios y la conservación ambiental en las áreas naturales protegidas a través de la evaluación ambiental de la cadena productiva, analizar la normatividad vigente para las actividades productivas en áreas protegidas, capacitar a los actores de las cadenas en el mejoramiento del sistema de cosecha y desarrollar actividades económicas amigables con el medio ambiente.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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; both teacher heads agree on what is shown here.
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".