Stakeholder engagement in adaptation interventions: an evaluation of projects in developing nations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Institution-oriented, top-down and community-oriented, bottom-up stakeholder approaches are evaluated for their ability to enable or constrain the implementation of adaptation in developing nations. A systematic review approach is used evaluate the project performance of 18 adaptation projects by three of the Global Environment Facility's (GEF) adaptation programmes (the Strategic Priority for Adaptation (SPA), the Special Climate Change Fund (SCCF), and the National Adaptation Programs of Action (NAPA)) according to effectiveness, efficiency, equity, legitimacy, flexibility, sustainability, and replicability. The ten SPA projects reviewed performed highest overall, especially with regards to efficiency, legitimacy, and replicability. The five SCCF projects performed the highest in equity, flexibility, and sustainability, and the three NAPA-related projects were the highest-performing projects with regards to effectiveness. A comparison of top-down and bottom-up approaches revealed that community stakeholder engagement in project design and implementation led to higher effectiveness, efficiency, equity, flexibility, legitimacy, sustainability, and replicability. Although low institutional capacity constrained both project success and effective community participation, projects that hired international staff to assist in implementation experienced higher overall performance. These case studies also illustrate how participatory methods can fail to genuinely empower or involve communities in adaptation interventions in both top-down and bottom-up approaches. It is thus crucial to carefully consider stakeholder engagement strategies in adaptation interventions.Policy relevanceWhile adaptation is now firmly on the policy and research agenda, actual interventions to reduce vulnerability and enhance resilience remain in their infancy, and there is limited information on the factors that influence the successful implementation of adaptation in developing areas. Engaging stakeholders in assessing vulnerability and implementing adaptation interventions is widely regarded to be an important factor for adaptation implementation and success. However, no study has evaluated the effects of stakeholder engagement in the actual implementation of adaptation initiatives. Effective stakeholder engagement is challenging, especially in a developing nation setting, due to high levels of poverty, inadequate knowledge on adaptation options, weak institutions, and competing interests to address more immediate problems related to poverty and underdevelopment. In this context, this article documents and characterizes stakeholder engagement in adaptation interventions supported through the GEF, examining how top-down or bottom-up stakeholder approaches enable or constrain project performance.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it