Adult learning for nutrition security: Challenging dominant values through participatory action research in Eastern India
Bibliographic record
Abstract
National statistics point to the severe problem of hunger and undernutrition within indigenous communities in India. Several state interventions exist, in terms of both supplementary feeding and nutritional literacy, yet not much progress is visible. This paper explores the experiences of a participatory, educational, action research programme on nutrition for indigenous women and men in Eastern India. Spanning a period of three years, it examines the adult learning approaches involved in the process and their implications for gender relations as well as improved nutritional outcomes. It became clear, that to bring change, the facilitators needed to listen to women’s voices and question their own assumptions about ethnicity/caste, class and gender, as well as nutrition. Based mainly on their field reports, this paper seeks to highlight the emergent insights in terms of indigenous women’s priorities, their focus on the ‘collective’, and emphasis on recognition and reciprocity, vis-a-vis institutions of both state and society, articulated during the process of dialogue, reflection, action and learning.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".