The Political Economy of Marine Stewardship Council Certification: Processors and Access in Newfoundland and Labrador's Inshore Shrimp Industry
Bibliographic record
Abstract
In August 2008, the Northern shrimp, a prey of the iconic cod, became the first species managed by the Canadian government to meet the Marine Stewardship Council's (MSC) standard for ‘sustainable and well‐managed’ fisheries. Using the Northern shrimp fishery as a case study, this paper argues that rather than being simply a tool for sustainability or even earning market access, MSC certification allows fishery ‘clients’– those organizations that ultimately hold the MSC certificate – to control resource access and production relations. The processing association that acted as the initial client in this fishery gained new members by sharing access to certification in 2009 and expelled a community‐based fishing co‐operative from the client group in 2010. Certification dynamics in this case reflected, and were used to reinforce, a highly competitive political economy of production. These dynamics may have implications for future resource access, since shrimp stocks appear to be declining in key areas after three decades of growth.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| 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".