Bibliographic record
Abstract
The deep shift after the late 1970s in ways of thinking, seeing and acting led to the quest for small localised narratives, and participatory approaches committed to equity. This paper describes an attempt to integrate a participatory approach and gender concerns in problem anal ysis, planning, implementation, monitoring and evaluation in a project to conserve and manage the Pichavaram mangrove forests in Tamil Nadu. It also deals with the process of enhancing the equitable socioeconomic impacts of the intervention in the coastal villages, sensitising the forest officials, and developing their skills and those of the village community to facilitate women's participation at all levels. In the gender-sensitive micro-plan prepared to address the concerns identified through participatory rural appraisal, both men and women shared responsibilities: meeting government officials, legitimising their tribal identity, constructing and running an elementary school, and restoring and managing the mangroves. This process has enhanced the women's self-confidence, their capacity to save, and their control over income and mobility.
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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 | 0.013 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.030 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".