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Record W4408419647 · doi:10.1007/s10113-025-02384-y

Building capacities for adaptation planning: moving from needs assessment to action with a multilevel approach

2025· article· en· W4408419647 on OpenAlexfundno aff
María del Pilar Bueno Rubial, Ignacio Lorenzo Arana

Bibliographic record

VenueRegional Environmental Change · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Innovations and Practices
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsAdaptation (eye)Climate change adaptationNature ConservationAction (physics)Multilevel modelEnvironmental planningEnvironmental resource managementClimate changeEnvironmental scienceComputer sciencePsychologyEcology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.186
GPT teacher head0.311
Teacher spread0.125 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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