A socio-ecological risk assessment of the effects of recreational fishing on American Eel (Anguilla rostrata)
Bibliographic record
Abstract
In the present thesis, I used human dimensions and ecological research techniques to investigate whether recreational fishing poses a threat to American Eel (Anguilla rostrata), an Endangered species in the Canadian province of Ontario and globally (IUCN Red Listed as Endangered).Specifically, in Chapter 2 I explored angler perspectives and behaviour towards the American Eel through interviews.In Chapter 3, I evaluated the effects of simulated catch-and-release angling on American Eel, in terms of mortality and injury over a seven-day holding period.Almost all anglers (90%) who had captured eels in the Ottawa River, Ontario, had released them (Chapter 2), and eels were found to be relatively resilient to catch-and-release events (Chapter 3).Overall, my results suggest that recreational fishing does not pose a threat to American Eel, however this research is only a preliminary assessment and not all variables involved in a true recreational fishing scenario were examined.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".