A Quarter of a Million Women in Kerala Earn Livelihoods with Dignity
Bibliographic record
Abstract
A Quarter of a Million Women in Kerala Earn Livelihoods with Dignity \n \nIn a country where the problem is not only to secure food for the 237 million people who are undernourished, but to secure food justice, an experiment carried out as part of the Kerala's anti-poverty programme Kudumbashree seem to be having major consequences for food security. Under the Sangha Krishi (group farming) initiative, as many as 44,225 collectives of women farmers have sprung up across the State, creating a social space where marginalised women can collectively pursue their needs and aspirations. The author discusses here the results of the initiative in terms of shifting role of women in Kerala's agriculture and in the political process, enabling women to salvage their dignity and livelihoods amidst immense adversity. The author highlights achievements and challenges for sustainability of Kudumbashree and concludes that the value of Sangha Krishi lies in that it has become the manifestation of a deep-rooted consciousness about food justice amongst Kerala's women.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".