Programme Assistant – G5 Rio Conventions Ecosystems and Climate Change Pavilion Type of Contract: Temporary Assistant Duty Station: Montreal
Bibliographic record
Abstract
The Convention on Biological Diversity (CBD) is one of the key agreements adopted at the 1992 Earth Summit in Rio de Janeiro, where world leaders agreed on a comprehensive strategy for sustainable development – meeting our needs while ensuring that we leave a healthy and viable world for future generations. The Convention has 193 Parties and sets out commitments for maintaining the world's ecological underpinnings as we go about the business of economic development. The Secretariat of the Convention, administered by the United Nations Environment Programme, is located in Montreal, Canada. A small, dynamic and multicultural office consisting of approximately 70 staff, its main tasks are to arrange for and service meetings of the Conference of the Parties, including the preparation of pertinent documentation, the operation of the international node of the clearing house mechanism, and the liaising and coordination with other international bodies and processes for the effective implementation of the Convention. BACKGROUND The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) revealed that approximately 20-30 % of plant and animal species assessed so far are likely to be at increased risk of extinction if increases in global average temperature exceed 1.5-2.5 o C. In particular, climate change will
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.460 | 0.118 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".