Sustaining Livelihoods and Conserving Ecosystem Services A policy brief based on the Sustainable Management of
Bibliographic record
Abstract
Flemish Government UNESCO was created in 1945 in order to respond to the firm belief of nations, forged by two world wars in less than a generation, where political and economic agreements are not enough to build a lasting peace. Peace must be estab-lished on the basis of humanity’s moral and intellectual solidarity. UNESCO strives to build networks among nations that enable this kind of solidarity, by mobilizing for education, building intercultural understanding; pursuing scientific coopera-tion and protecting freedom of expression. UNESCO’s Man and the Biosphere Programme (MAB), launched in 1971, is an Intergovernmental Scientific Programme that aims to establish a scientific basis for the improvement of relationships between people and their envi-ronments. MAB’s work engages with the international development agenda and addresses challenges linked to scientific, environmental, societal and development issues in diverse ecosystems: from mountain regions to marine, coastal and island areas; from tropical forests to drylands and to urban development zones. The United Nations University (UNU) is an organ of the United Nations established by the General Assembly in 1972 to be an international community of scholars engaged in research, advanced training, and the dissemination of knowl-edge related to pressing global problems of human survival, development and welfare. Its activities focus mainly on environment and sustainable development, and peace and governance. The UNU Institute for Water, Environment and Health (UNU-INWEH) is a member of the UNU family of organiza-tions. It was created by the UNU Governing Council in 1996 to strengthen water management capacity, particularly of developing countries, and to provide on-the-ground project support, with its core funding provided by the Government of Canada. It is hosted by McMaster University, Canada.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.028 | 0.024 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".