Participación campesina y manejo de los recursos naturales en Calakmul, Campeche
Bibliographic record
Abstract
espanolEn agosto de 1993 los gobiernos de Canada y Mexico suscribieron un convenio de cooperacion para el establecimiento del Bosque Modelo de Calakmul (BMC) en el estado de Campeche, a partir de 1994 inicia sus trabajos conjuntamente con el Consejo Regional Agrosilvopecuario y de Servicios de X'pujil (CRASX) en donde llevan a cabo una serie de acciones con el objetivo de influir en el mejoramiento del nivel de vida de la poblacion sin detrimento de sus recursos naturales. En el proceso de planificacion del programa y en su ejecucion, se da una gran participacion de los beneficiarios de los proyectos planteados, siendo campesinos en su totalidad. Por lo expuesto, en el presente estudio se realiza un analisis descriptivo de los aspectos practicos de la participacion campesina en la planificacion del manejo sustentable de sus recursos naturales dentro del programa CRASX/BMC. El trabajo toca aspectos del marco institucional en el que se lleva a cabo, de la organizacion y participacion campesina, de la tecnologia disponible y necesaria, de los recursos disponibles y necesarios, asi como de la evalua- cion y monitoreo del mismo, para finalmente llegar a conclusiones sobre cada una de las variables estudiadas y recomendaciones para el programa. EnglishIn August 1993 the Mexican and Canadian governments signed cooperation an agreement to establish the Model Forest of Calakmul (BMC) in the state of Campeche, wich with the agroforesty and services regional council from X'pujil in 1994, they made efforts with the purpose to establish a program that improves the life condition level of the regional farmers, without causing damage and pollution of the natural resources.In the planning and execution of the projects, a great participation of the beneficiaries involved, was observed being most of them farmers. Because of the above and considering how important the farmers are to develop the country, the study was carried out with the objective to analyze the practical aspects of the farmers participation in the planning and management of the natural resources. The study makes a descriptive analysis of the variables in the institutional frame; organization and farmer participation; available and required technology; the natural resources, financial and human; and evaluation and monitoring, from where conclusions and recomendation are risen.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".