‘It’s like the Hatfields & McCoys’ : recreational angler perspectives on intra-fisheries conflict in insular Newfoundland
Bibliographic record
Abstract
Recreational angling is a pastime that captures a huge following globally.Because of the enormous participation rate in the leisure activity, angling can have negative environmental impacts.However, the activity is also hugely important due to economic, and environmental and human health benefits.A feedback loop develops when the participants demonstrate a high level of care towards the resource, contributing considerable funds, time, and effort to protecting the target species through habitat restoration and environmental lobbying.This creates a system where a strong fishery promotes a high level of care and vice-versa.These benefits transcend the target species or the recreational activity, promoting economic, cultural, and environmental sustainability.The Canadian province of Newfoundland and Labrador has the highest angler participation rate in the country, and Atlantic salmon (Salmo salar) is arguably the most prized target.However, there is considerable tension between angler sub-groups.Live-release angling has risen in popularity but has not been universally adopted or accepted in Newfoundland and Labrador as a management measure and has further been criticised as a voluntary restraint.The tension between live-release and retention anglers threatens to undermine the feedback loop which offsets and mitigates negative and promotes positive impacts.Tension can be exacerbated by a lack of cooperation between the federal and provincial management, and a lack of agency trust.Managers must look outside recreational fisheries management to manage Atlantic salmon.For the recreational fishery to continue providing economic, social and environmental benefits, sacrifices must be made exterior to the fishery itself, as in-fishery solutions regarding further restrictive regulation are increasingly being viewed as insincere, and unproductive attempts to curb a declining population.vi This effort is dedicated to two people who encouraged me greatly in my love and pursuit of Atlantic salmon:Alice Shortt whose constant optimism would counter the hard years, tough conditions, and unsuccessful fishing trips and Robert Brennan who was more than just a fishing buddy.A dedicated mentor, moral coach, and a great friend who generously shared his knowledge, wit, and sometimes whiskey.Both people are missed greatly and remembered vividly and fondly.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".