Mixed Signals: NGO Campaigns and Non-state Market Driven (NSMD) Governance in an Export-Oriented Country
Bibliographic record
Abstract
In the past two decades, non-governmental organizations (NGOs) have targeted international customers of Canadian staples, intent on cajoling and coercing them to favour exporting firms certified as practising responsible fisheries and forestry management. The link between these campaigns and the adoption of these non-state market driven (NSMD) mechanisms is, however, more complex than often portrayed. There is an uneasy tension between demands favouring NSMD as a new form of private governance that will vary its own stewardship standards according to scientific information, multi-stakeholder deliberations, and price signals; and traditional demands that focus on a specific behaviour of a specific firm over a specific, albeit narrow, environmental problem. Indecision on the part of NGOs about the approach to take creates mixed signals, affecting firm decisions (purchasers and producers) in ways that can reduce the institutionalization of private authority. We examine these dynamics by unpacking the campaigns and their implications for the potential and consequences of NSMD governance.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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".