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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".