Perceptions of climate shocks and gender vulnerabilities in the Upper Ganga Basin
Bibliographic record
Abstract
Mountain ecosystems, owing to their skewed development trends and amplified climatic perturbations, are extremely vulnerable to climate change. Existing developmental challenges manifested as limited access to basic services and over reliance on weather sensitive livelihoods further amplify the vulnerability of communities. This study, using empirical evidence from sites in Uttarakhand, establishes an understanding on how place-based vulnerabilities influence the livelihoods – analyzed through the sustainable livelihoods frameworks. The research also highlights the gender differentiated impacts that arise due to existing social norms and practices evident in the study sites. The study further identifies an emerging narrative of socio-cultural norms determining access to resources and influencing an individual’s vulnerability. Moreover, existing social norms differentially impact women by limiting their access to land ownership, decision making powers, amongst others, and subsequently negatively influencing their adaptive capacities. These present as critical challenges that influence gender based vulnerabilities in the mountains and plains of Uttarakhand.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".