Integrating Stakeholder Values and Science in Marine Management
Bibliographic record
Abstract
"Ecosystem-based management (EBM) has been widely recognized as the new paradigm for marine resource management. This approach considers all the elements of the ecosystem including humans. Even though, EBM has been well defined in theory, its implementation has been challenging worldwide. The few successful initiatives at implementing EBM have suggested that stakeholder involvement is a key element. For marine management, as for other common resources, discussion on management alternatives often depend on technical and complex concepts from diverse fields. Without the discussions of stakeholder values, many people and their values are often excluded from or play a minor participation in the decision making process. In addition, stakeholders might not trust the process and reject the implementation of a decision/management alternative. To implement EBM, managers require a decision- making framework in which the values of the constituents are identified since the beginning of the process, and objectives and performance measures for EBM are consistent with these values. Structured decision-making (SDM) is a systematic approach that can bring together stakeholders, scientists and managers to build a framework for EBM that reflects what matters to people and the scientific aspects of the ecosystem and EBM. I present as a case study, the use of SDM for the on-going EBM process on the west coast of Vancouver Island (WCVI), British Columbia, Canada."
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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 | 0.000 |
| 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 | 0.001 |
| 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".