Competitiveness Analysis of Indonesian Fishery Products in ASEAN and Canadian Markets
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.
Bibliographic record
Abstract
This study aimed to analyze the competitiveness of Indonesian fishery products in the ASEAN and Canada markets. The method used was Revealed Comparative Advantage (RCA), Export Product Dynamic (EPD), and X-Model product export potential. The research showed that Vietnam and Canada had a similar level of export structure to Indonesia in the ASEAN market so that Indonesia would have a high competition with both countries. Indonesian fishery products showed a high competitiveness in the export destination markets, except Philippines and Canada. The market position of Indonesian fishery products in Philippines, Thailand and Canadian markets was in the rising star and lost opportunity. These countries also showed as an optimist and potential market for Indonesian fishery products. The policy implication is that government and private sector need to prioritize the export of fishery products to Thailand, Philippines and Canada by improving the product competitiveness through quality improvement and production cost efficiency
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 it