A social wellbeing approach to the gendered impacts of fisheries transition in Gujarat, India
Bibliographic record
Abstract
In this paper, we use the analytical lens of social wellbeing to interpret the history of livelihood change in the coastal village of Saiyad Rajpara in Gujarat over the past 70 years. We describe a broad narrative of transition from food scarcity to food security brought about by the introduction and intensification of bag net fishing in the village. This form of fishing has largely displaced the previous economic basis for livelihoods of uncertain daily wage labour. In a pattern common along the coast, an economy offering at best subsistence has shifted to one that is market-oriented, and which generates considerable surplus. We use the social wellbeing perspective to take stock of and order the complex effects of this transition. While the intensification of small-scale fishing in Saiyad Rajpara resulted in a general and marked material improvement in the lives of the residents of the village, the social relational benefits and subjective experience of change have been more mixed, particularly along lines of gender. A social wellbeing perspective offers an approach to fisheries governance that is more inclusive and sensitive to local experience.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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".