Coping with the Standards Regime: Analyzing Export Competitiveness of Indian Seafood Industry
Why this work is in the frame
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Bibliographic record
Abstract
<p>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.</p>
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it