A Qualitative examination of recent public participation activities in association with ecosystem management in the Great Lakes
Bibliographic record
Abstract
Government approaches to the management of the North American Great Lakes have evolved following the introduction of ecosystem management principles in the 1978 Great Lakes Water Quality Agreement between the United States and Canada. This approach was adopted as a way to address the complexities associated with the interconnections between the air, land, and water in the Great Lakes basin and its more than 30 million inhabitants. Although there is no universally accepted definition of ecosystem management, a key element is stakeholder participation in policy formulation and implementation to validate decisions within the public sphere. In this thesis I assess public participation as an aspect of the ecosystem management approach to policy making by analyzing public participation activities associated with two programs in the Great Lakes: the Great Lakes Regional Collaboration and the Great Lakes Restoration Initiative. Using an outcome goals analytical framework, I evaluate the effectiveness of stakeholder participation and policy responses to the problem of aquatic invasive species in the Great Lakes.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".