Mistaking Fresh for Wild: Lessons from a Classroom Blind Tasting of Wild and Farmed Salmon
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
Four market-available (in December) fish were presented to students in a master’s course: fresh farmed Atlantic salmon, fresh farmed steelhead trout, frozen wild sockeye salmon, and wild king salmon. Tasters were asked to identify their favorite fish; which they thought was most expensive; whether they thought each was fresh; and whether they thought each was wild. When the king salmon was frozen, 79% of tasters preferred the farmed fish, largely because it is fresh. Many tasters erroneously attributed the bright, clean flavors and flaky texture they like to being wild: 39% of tasters thought the fresh steelhead was wild, though it is farmed. Still, the strongly flavored and lean sockeye was preferred by about a quarter of the tasters, despite being frozen. This mismatch between consumers’ preferred taste attributes and the production attributes on which they base choices implies an opportunity for aquaculture products to continue to expand their market.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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