Evaluating alternative bait options for the PEI lobster fishery in Lobster Fishing Area (LFA) 25, Atlantic Canada
Bibliographic record
Abstract
The American lobster (Homarus americanus) fishery in Prince Edward Island (PEI) relies on bait to capture lobster. There is unease in the industry that rising prices and pressure on specific baits, in particular, Atlantic mackerel (Scomber scombrus), will lead to bait shortages and further amplified prices. A scan of the current information on some alternative baits that are being used in the industry was conducted to ascertain their potential to alleviate some of the pressure that is currently placed on the bait sources being utilized by the industry. In addition, an economic sensitivity analysis of the species cunner (Tautogolabrus adspersus) was carried out, as it was found from the scan of potential options, to be one of the most promising species to be developed as auxiliary bait to the lobster fishery in PEI. Primary research was conducted with seven fishermen from the PEI side of Lobster Fishing Area (LFA) 25 to determine the potential catch rate of cunner. Additionally, 12 fishermen from the same LFA were surveyed to determine the potential costs of fishing and the value of cunner as auxiliary bait to that lobster fishery. In all scenarios evaluated during this study, except if cunner is valued at CAD .70 and less than five traps are fishing, cunner are economically viable and beneficial for fishers in LFA 25 to use as auxiliary bait. Further research is needed to determine if cunner is a source of sustainable bait or if auxiliary fishing activities could deplete stocks.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".