Per trip changes to the economic value of Ontario, Canada anglers fishing the Laurentian Great Lakes under target species transitions
Bibliographic record
Abstract
Changing fish communities in the Laurentian Great Lakes could substantially affect how anglers value fishing trips. Using responses from licensed Ontario, Canada anglers to potential fishing trip options, we estimated changes to per-trip values for transitioning from a walleye (Sander vitreus) to a bass (Micropterus spp.) fishery, and from a Chinook Salmon (Oncorynchus tshawytscha) to a lake trout (Salvelinus namaycush) fishery. These walleye and salmon transitions, respectively, were estimated to produce large per-trip losses for active ($64 and $35 CAD 2017) and potentially large losses for non-active but interested Great Lakes anglers ($29 and $34). These aggregate estimates masked significant differences among anglers. For example, a class of more-specialized, active anglers would lose more from walleye ($102) and from salmon ($46) transitions than would less specialized anglers ($19 and $2, respectively). These results confirm that fish community changes can strongly affect economic values among active and potential Great Lakes anglers.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".