Enhancing the resilience and well‐being of rural poor to climate risks: are the economic functions of social protection enough?
Bibliographic record
Abstract
As climate change accelerates, adaptive social protection programmes are becoming increasingly more popular than conventional social assistance programmes, since they are seen to enhance people's resilience and well-being outcomes. Despite this upsurge, little is known about the impacts of adaptive programmes on resilience and well-being outcomes as compared to conventional programmes. This paper examines the economic functions that both types of social protection programmes offer through empirical studies in two climate-vulnerable zones in Bangladesh. By operationalising a simplified analytical framework to comprehend subjective resilience, the qualitative data reveal that the adaptive programme is more effective in enhancing beneficiaries' perceived resilience to climate risks. Regrettably, neither programme is found to contribute much significantly in terms of enabling beneficiaries to achieve the desired well-being outcomes that one might expect to see. The paper offers rich insights into the design components of the programmes, affording an on-the-ground understanding of their implications for resilience and well-being.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".