Does eco-certification change public opinion of salmon aquaculture in Canada? A comparison of communities with and without salmon farms
Bibliographic record
Abstract
Aquaculture eco-certification is associated with some producer-level benefits including price premiums and market access; however, reputational benefits from eco-certification are unclear. A public survey was used to understand the effect of eco-certification on opinion of salmon farming in two Canadian provinces (British Columbia and Nova Scotia) and differences between communities where farms are located (communities of place) and communities geographically distant from farms (communities of interest). Eco-certification had an overall positive effect on opinion, especially amongst people with a negative opinion of salmon farming who value far-reaching social outcomes of farming. Communities of interest had a more negative opinion of salmon farming and eco-certified salmon farming and were more concerned about local environmental impacts than communities of place while communities of place valued economic outcomes more than communities of interest. The role of eco-certification in public acceptance of aquaculture is limited by a lack of trust in eco-certification and failure to address local issues including conflict amongst marine users.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".