Multi-dimensional coping and adaptation strategies of small-scale fishing communities of Bangladesh to climate change induced stressors
Why this work is in the frame
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Bibliographic record
Abstract
Purpose Coastal and floodplain areas are on the frontline of climate change in Bangladesh. Small-scale coastal and floodplain fishing communities of the country face a host of cross-scale stressors continually, some induced by climate change, and they have developed coping and adaption strategies based on customary social and experiential learnings. This paper aims to examine the coping and adaptation strategies that small-scale fishing communities undertake in the face of stresses including climate change and variability. Design/methodology/approach This research takes a nuanced ethnographic-oriented approach based on around two-year-long field study in two coastal and floodplain fishing villages, represented by two distinct ethnic groups. The study adopts direct observational methods to denote the ways small-scale fishing communities address the arrays of stressors to construct and reconstruct their survival and livelihood needs. Findings It was observed that fishers’ coping and adaptation strategies comprise a fluid combination of complex overlapping sets of actions that the households undertake based on their capitals and capabilities, perceptions, socio-cultural embeddedness and experiential learnings from earlier adverse situations. Broadly, these are survival, economic, physiological, social, institutional and religiosity-psychological in nature. Adaptation mechanisms involve some implicit principles or self-provisioning actions that households are compelled to do or choose under given sets of abnormal stresses to reach certain levels of livelihood functions. Originality/value Based on empirical field research, this paper recognizes small-scale fishers’ capability and adaptability in addressing climate change-induced stresses. Policymakers, international development planners, climate scientists and social workers can learn from these grassroots-level coping and adaptation strategies of fishing communities to minimize the adverse effects of climate change and variations.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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