Source-Based Preferences and U.S. Salmon Imports
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 examined U.S. demand for salmon imports differentiated by source (Canada, Chile, and the rest of the world [ROW]), product cut (fillets and other salmon products), and form (fresh and frozen). The Rotterdam model was used in estimation, and source-aggregation tests were performed to determine the significance of source differentiation in analysis. We also performed separability tests to determine if import preferences were source-wise dependent or source independent. Test results strongly reject source aggregation; however, source-wise dependence could not be rejected. Furthermore, source-aggregated demand was significantly more price-elastic when compared to source-wise dependent demand. Results show that import preferences are not homogeneous across exporting countries, and there is significant information loss when source differentiation is not considered.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it