Preliminary experiments on application of participatory GIS in trawl \nfisheries of Karnataka and its prospects in marine fisheries resource \nconservation and management
Bibliographic record
Abstract
Geographic Information System (GIS) has become a part of our day today life in empowering institutions to formulate \nacceptable solutions in societal issues. More recently, public participatory GIS (PPGIS) and participatory GIS (PGIS) were \nviewed as more efficient tools in solving social and resource conservation issues, which empower communities those who \nare often ignored in traditional GIS practices. In fisheries, PGIS concept was first reported from Canada and on these lines \npioneering efforts of involving concept of PGIS in fisheries is being attempted in Karnataka, where the geospatial data on \nfishing, catch and samples of fish caught by commercial fishing vessels were shared with the research organization and the \ndata and samples thus shared were processed by fishery and GIS experts to come out with various tools for fishery management \nand resource conservation of the region. The study showed that the trawlers from Mangalore carried out trawling operations \nfrom sea off Calicut in the south (75 oE, 11 oN) to off Ratnagiri in the north (73.5 oE, 17 oN). Their depth of operation was \nbetween 5 m and 167 m, which signify the importance of revalidation of state–wise policies in introduction of mechanized \nvessels based on the landing in the respective states. The study showed that during the period, 237 species / groups of marine \nfauna were discarded of which many were juveniles of commercial species and rest were of adult size fishes of low or no \nmarket value. Spatio-temportal distribution and abundance of commercially lesser known species, which was not reported \nearlier from the coast,which have high trophic importance like small crabs, Charybdis hoplites and shrimp species like \nMetapenaeus andamanensis were brought out as the results of the study. Study also provided information on a unique \necosystem off Karnataka coast and with reef species and there is an immediate need for conserving this ecosystem. Based on \nthe results of distribution and abundance of marine resources, spatial and seasonal restrictions on fishing efforts can be \nadvocated in areas and seasons during which high incidence of bycatch of juveniles and non-commercial biota is being \ncaught. This will help in sustaining marine fisheries from Malabar and Konkan coasts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".