Exploring the economic viability of Dol net Fishery off the coast of Gujarat
Bibliographic record
Abstract
Dol-net fishing is a very popular traditional fishing method carried out along the Gujarat coast. Dol nets have evolved over time with innovations in craft and gear, in order to enhance the efficiency of operation as well facilitate the ease of catch of the targeted species. Economics of operation of Dol-netters is a prime factor governing its deployment by fishers, provision of credit assistance by financial institutions and decision making on sustainable fisheries management by the Government. The following study, framed with the above said objectives, revealed that, during 2023, mechanised multi-day doll netters from Jaffarabad, a major Dol-net operating centre, operated with a capital productivity of 0.69, labour productivity of 1631 Kg/crew/trip, Input-Output ratio of 0.28 and Gross Value added to the tune of 187338.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".