Companion modeling and multi-agent systems for integrated natural resource management in Asia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
IRRI, the Center for International Cooperation in Agricultural Research for Development (CIRAD), and other CGIAR centers are working constantly to develop innovative methodologies based on new approaches and paradigm shifts. This publication presents breakthroughs in research on integrated natural resource management (INRM) - spatial modeling and adaptive management of renewable resources are key findings - based on a 2001-2004 companion modeling project in Thailand. It recommends that INRM projects satisfy the following minimum set of criteria: - Be defined in a collaborative and equitable manner with all relevant stakeholders and partners. - Generate new knowledge as international/regional public goods based on both indigenous knowledge and modern science. - Effectively communicate and disseminate results and conclusions to all stakeholders. - Reform and strengthen institutions from local to policy levels.
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.
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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it