Salmon farming in the North – Regulating societal and environmental impacts
Bibliographic record
Abstract
Salmon farming is a rapidly growing industry in the North and its sustainable development depends on adequate governance. We have assessed the governance systems for salmon farming in four northern countries, Canada, the Faroe Islands, Iceland, and Norway. In all the countries, the industry is marked by controversies, linked to the environmental and societal impacts of its activities. The question raised is how the authorities address these challenges - what instruments are deployed to achieve a sustainable salmon industry? We have identified both commonalities and differences. The farming of salmon is to a large extent organized in similar ways, with net-pens in the ocean as the dominant production form. In general, the regulations pertaining to the industry have a lot in common. All countries require a license to produce, there are environmental monitoring regimes in place, and the producers are required to report on the same parameters, such as biomass, sea lice counts, disease management, and a range of other statistics. A major difference is the polycentric character of the governance systems in Canada and partly Norway. Still, despite differences in production volume and contextual factors, we see that fairly similar regulatory toolboxes are used to control aquaculture activities.
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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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.004 |
| 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".