Household Adaptive Strategies: Shaping Livelihood Security in the Western Himalaya
Bibliographic record
Abstract
ABSTRACT This research investigates the livelihood systems of two mountain villages in the northwest Himalaya, focussing on household strategies of diversification as a means of maintaining livelihood security Field research was carried out with women of different age and caste from 32 households. Eight strategies were found to be of particular importance: (1) the diversification of activities and household inputs, (2) the maintenance of crop biodiversity and landscape diversity in the agricultural system, (3) the increased negotiations with the market, (4) the reliance on agricultural wage labour, (5) the building up and drawing down of household inventories, (6) the reliance on common property resources, (7) the development of social networks, and (8) the formation of community groups. Policy for sustainable livelihoods in mountain ecosystems must be firmly rooted in an understanding of these complex strategies and the knowledge of women's own efforts to ensure that their households are secure and resilient.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".