Building capacities for adaptation planning: moving from needs assessment to action with a multilevel approach
Bibliographic record
Abstract
Abstract Impulsouth is an alliance of organizations working collaboratively to increase knowledge and capacities in developing countries to enhance climate action and promote South-South cooperation. The alliance engages in several activities in six countries in Latin America and Africa (the Dominican Republic, Guatemala, Madagascar, Niger, Uganda, and Zambia), including virtual training courses for young climate professionals, a solutions lab to tackle key climate challenges, and action-research conducted by national teams in close collaboration with United Nations Framework Convention on Climate Change (UNFCCC) national focal points. The goal of this country-specific research is to inform efforts to increase the capacity of each country’s involvement in the Paris Agreement ambition cycle leading up to the UNFCCC Global Stocktake (GST), with a particular emphasis on new change agents (young people and women) and their catalyzing contributions to national climate goals. This paper outlines the findings of the national research teams regarding capacity needs and gaps related to each country’s ability to assess climate impacts, vulnerabilities, and risks with a gender-sensitive approach. The assessment of impacts, vulnerabilities, and risks is the first component of the adaptation policy cycle (APC) under the UN climate change regime and is key to evaluating collective progress toward the Global Goal on Adaptation (GGA) as part of the Global Stocktake.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".