Model Forests: Case Study in Calakmul, Campeche, Mexico
Bibliographic record
Abstract
In August 1990, the governments of Canada and Mexico signed a cooperation agreement for the establishment of the Calakmul Model Forest (CMF).The basic rationale is that the forest can be managed by achieving both economic and ecological objectives.Thus, in 1994, the Regional Council for Pastoral and Agroforesty Systems of Xpujil Campeche (RAFSX) and the CMF joined efforts in order to diversify the production of lands opened to cultivation, improving conservation of forest in an ecological way and rescuing archaeological mayan sites.In this research, the practical knowledge of local peasants for planning the sustainable management of natural resources were studied and analyzed keeping in mind a broad intersectoral vision.The work includes an inter-institutional framework such as peasant organization and participation, available and required technology, available and needed resources, evaluation and monitoring of social impact.In the process of planning and execution the program was presented to 72 ejidos (communal farms), starting with 22% active ejidos and ending with 71% after 6 years after launching the program.
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 | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".