Research, part of a Special Feature on Rebuilding Fisheries and Threatened Communities: the Social-Ecology of a Particularly Wicked Problem "The fishery went away": The impacts of long-term fishery closures on young people's experience and perception of fisheries employment in Newfoundland coastal communities
Bibliographic record
Abstract
There is a growing body of research documenting the impacts of fisheries collapses on communities and fisheries workers. Less attention has been paid to the sustainable use of fisheries resources so that future generations have access to these resources, or to the creation of mechanisms that might contribute to the intergenerational continuity of recruitment of fisheries workers and the regeneration of fisheries communities. In this paper we report on young people's experiences and perceptions of fisheries employment in Newfoundland and Labrador to deepen our understanding of the resiliency of small-scale fisheries. We found that these young people's experiences of fisheries employment are extremely limited and their perceptions of the quality of fisheries work is primarily negative while, at the same time, they recognize its importance to the vitality of their communities. We argue that stock collapses and subsequent downsizing and regulatory changes in the industry have disrupted intergenerational continuity in fisheries work and shaped how young people view their communities and options.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".