Ecolabeled seafood and sustainable consumption in the Canadian context: issues and insights from a survey of seafood consumers
Bibliographic record
Abstract
Abstract The concept of sustainable consumption is a much debated practice that has been seen as an outcome of the emergence of ecological citizenship —a concept that brings together the citizen and the environment in a framework that is underlined by social justice considerations and incorporates a vision of citizenship that involves both the private sphere and the public sphere of human activity. This study examines Canadian consumer awareness and uptake of certified sustainable seafood. We introduce the concepts ecological citizenship and sustainable consumption as a way of framing our research. Seafood ecolabels may be a valuable tool in translating general environmental concern about the marine environment into more sustainable fisheries practices. We conducted an on-site consumer survey in the Greater Toronto Area and a nearby city. Our findings showed that in contrast to high levels of awareness of the importance of the marine environment and the sustainability of seafood, consumers had a limited understanding about the meaning of sustainability in the case of seafood, and little knowledge about actual ecolabels found in the Canadian marketplace. Attitudes towards the marine environment and sustainable seafood, understanding of the meaning of seafood sustainability, and purchasing behaviors of sustainable seafood were significantly different by some socio-demographic characteristics. Positive attitudes towards the marine environment and sustainable seafood and better understanding of seafood sustainability were significantly associated with the increased purchasing of ecolabeled seafood. Lack of understanding of ecolabels, limited information about product sustainability, and lack of in-store guidance were identified as key barriers to purchasing ecolabeled seafood products.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".