Risks and responses in rural India: Implications for local climate change adaptation action
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
People in drylands face multiple climatic and non-climatic risks and subsequently engage in various response strategies to manage these risks. Research on risk management has typically focussed on a static, location-specific understanding of risk and response. However, empirical evidence suggests that risks and vulnerability vary across space and time. Increasingly, responses traverse multiple locations e.g. people move across rural and urban areas, women move beyond the household/community to earn additional incomes. To highlight this dynamic reality of risks and responses, we study livelihood transitions in South India. We unpack risk and response portfolios across scales – household, community, and sub-national (district) levels – and classify them as coping, adaptive and maladaptive. Our findings emphasise that present responses do not necessarily qualify as climate change adaptation strategies. While certain strategies do improve household wellbeing in the short run, there is relatively lower evidence to suggest an increase in adaptive capacity to deal with climatic risks in the future. These findings point to critical gaps in understanding current risk management and how it can contribute to local adaptation policymaking and implementation.
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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 | 0.000 | 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 it