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Record W4362519690 · doi:10.1007/s40152-023-00299-0

A social wellbeing approach to the gendered impacts of fisheries transition in Gujarat, India

2023· article· en· W4362519690 on OpenAlex
Rajib Biswal, Derek Johnson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMAST. Maritime studies/Maritime studies · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural risk and resilience
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of CanadaMemorial University of NewfoundlandUniversity of Manitoba
KeywordsLivelihoodSubsistence agricultureFishingFood securityStock (firearms)GeographyEconomicsFisheryEconomic growthDevelopment economicsAgriculture

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.273
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it