Coping with the Standards Regime: Analyzing Export Competitiveness of Indian Seafood Industry
Bibliographic record
Abstract
In this research paper a Constant Market Share (CMS) approach was employed to learn export performance dynamics of Indian seafood (shrimps and cephalopods) in the major export destinations (EU, USA and select Asian countries), which accounts for a sizeable market for Indian seafood. The Constant Market Share model was used to disintegrate the growth in exports of seafood into market size effect, market composition effect and competitiveness effect. The analysis was performed for the seafood exports for a span of 12 years from the year 1996 to the year 2007, the period during which India had to face severe challenges from evolving food safety regulations in the EU and USA. The analysis was extended to account for the competitiveness at dis-aggregated commodity level. In the present study we observed enhanced competitiveness in the case of cephalopods while shrimp exports were less competitive. To a certain extent it shows that trade facilitating as well as trade restricting effects can coexist as an impact of strict food safety regulations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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; 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".