Building resilience of Mongolian rangelands: a trans-disciplinary research conference
Bibliographic record
Abstract
Mongolia is a semi-arid and arid country in Asia where the climate has been changing more drastically than many other locations across the globe. The proceedings of the "Trans-disciplinary Research Conference: Building Resilience of Mongolian Rangelands" is divided into five sections: 1) Rangeland Ecology and Management, 2) Climate Change and Hydrology, 3) Institutional Innovations in Mongolian Rangelands, 4) Social and Economic Development in Rural Mongolia, and 5) Methods of Knowledge and Data Integration. The papers presented provide cause for concern regarding observed changes in climate, rangeland conditions and livestock populations, as well as reasons for hope and motivations for action to address the current challenges. We hope that this volume and the conference it accompanies, will inspire renewed commitment to support science and science-based policy-making and management to sustain Mongolia's unique natural and cultural heritage as they adapt to a changing planet.
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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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".