Economics of Producing a Value Added Seafood Product from Shrimp Waste in Quebec
Bibliographic record
Abstract
This research examined the economics of reprocessing shrimp waste into edible breaded and battered seafood products. The proposed technology involves the extraction of broth from shrimp waste and using it to impart shrimp taste and flavour to surimi nuggets. A survey of foodservice institutions in Montreal revealed that 50010 of these commercial establishments were willing to buy the product for use in their operations at a suggested wholesale/supplier's price of $4.40 per kg. Results of a Logit model indicated that price and restaurant ownership appeared to influence respondent's purchase intentions significantly. The odds-ratio in favour of a low-end, independent or family-owned restaurant adding the product to its menu was significantly greater than the odds-ratio in favour of a high-end restaurant or chain establishments buying the product for its operations. Asian restaurants were equally as likely to purchase the product as restaurants serving other menus. In general, respondents said that product taste, texture, appearance and aroma were satisfactory.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".