SURVEY OF ETHNIC LIVE SEAFOOD MARKET OPERATORS IN THE NORTHEASTERN USA
Bibliographic record
Abstract
From February through August of 2006, a team of two researchers visited 130 ethnic live seafood markets in the northeastern USA that sell live seafood. Operators of 27% of these locations completed a survey asking basic information about their businesses with respect to live seafood. This study provides interesting baseline information on these markets directly from market managers and operators. The markets surveyed have been in business for median of nine years. Sixty-three percent receive more than one live fish shipment per week. Fifty-five percent of markets sell over 227 kg of live seafood per month. Asians are the predominant clientele in most of these locations. Most market operators stated they prefer freshness and quality over price and availability. About the same number of markets identified strong sales during the winter months as those that indicated constant live seafood sales. Live tilapia and hybrid striped bass are the two most common products. Sixty-two percent of market operators view the live seafood section as very important to overall sales in their store and roughly one-quarter of those surveyed are considering expansion.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".