A medio siglo de manejo pesquero en el noroeste de México, el futuro de la pesca como sistema socioecológico
Bibliographic record
Abstract
El manejo pesquero en el noroeste de México debe reconocer plenamente a la pesca como parte de un sistema socio-ecológico. Este estudio describe la evolución y situación del manejo, incluyendo la dinámica entre instituciones de manejo y organizaciones conservacionistas, resaltando oportunidades y retos para alcanzar la sustentabilidad ecológica y social. En este contexto, el reconocimiento de la pesca artesanal como actividad social además de económica, facilitaría la evolución de los esquemas de gobernanza y manejo para empatarlos con los objetivos sociales. Ello permite abordar de lleno temas de suma importancia, incluyendo los retos de las comunidades pesqueras indígenas, o los impactos anticipados del cambio climático. El conocimiento científico y la experiencia acumulados en cinco décadas representan una gran capacidad para desarrollar estrategias novedosas para transitar hacia la sustentabilidad del sistema. El éxito de este proceso dependerá de la habilidad de consolidar una visión unificada sobre los beneficios deseados, en especial para las comunidades pesqueras.
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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".