Delegates from 26 African countries conclude gender and climate change sensitization training
Bibliographic record
Abstract
Delegates from 26 African countries, plus Canada, Jamaica and Philippines, today in Addis Ababa concluded a three-day sensitization training on gender and climate change, resolving to put necessary pressure on political leaders and African lead negotiators to integrate gender issues in climate change negotiations ahead of the 15th Conference of the Parties to the UN Framework Convention on Climate Change. The training, which was part of the implementation of the Nairobi Declaration, was organized by the United Nations Environment Programme, with the collaboration of the Economic Commission for Africa (ECA) and the United Nations Development Programme, (UNDP). In a statement at the closing, South Africa’s Deputy Minister of Water and Environment Affairs, Ms. Rejoice Mabudafhasi, said women were critical to the well-being and sustainable development of their communities and to the maintenance of the earth’s ecosystem, biodiversity and natural resources.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.109 | 0.025 |
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".