A State-Provincial Approach to Harmful Algal Blooms in the Great Lakes Basin: Possibilities and Pitfall
Bibliographic record
Abstract
Event Description and Panels Harmful algal blooms (HABs) are negatively impacting the Great Lakes. The Lakes should be enjoyed for recreation and serve as the home to bountiful freshwater species, however, this precious resource is becoming increasingly toxic. Much has been written and studied about the causes of HABs, and numerous solutions have been proposed. However, there are many cooks in the remedial kitchen and the progress toward remediation has been stalled and uncoordinated. This symposium will present such a framework by two leading scientific and legal experts on HABs. Professor Irena Creed, Associate Vice President for Research at the University of Saskatchewan and Fellow of the Royal Society of Canada, and Kathryn Friedman, Global Fellow at the Woodrow Wilson International Center for Scholars Canada Institute and Research Professor at the University at Buffalo, will propose a state-provincial framework for tackling HABs. This proposal will then be reviewed by a panel of federal, state and provincial environmental regulators and a panel of industry and non-government organization stakeholders. The timely questions to be answered include: Whether a state-provincial framework necessary? Is it possible? What are the challenges? How can an enforceable and successful framework be created? Government Regulatory Panel: Michigan: Teresa Seidel, Division Director for Water Resources, Department of Environment, Great Lakes & Energy, State of Michigan Minnesota: Katrina Kessler, Assistant Commissioner for Water and Agriculture Policy, Minnesota Pollution Control Agency, State of Michigan New York: Karen Stainbrook, Chief of Lake Monitoring and Assessment Section, Department of Environmental Conservation, State of New York Wisconsin: Madeline Magee, PhD, Great Lakes and Mississippi River Monitoring Coordinator, BEACH Program Manager, Office of Great Waters – Great Lakes and Mississippi River, Department of Natural Resources, State of Wisconsin Halton, Ontario: Chitra Gowda, M.Sc. Environmental Engineering, Sr. Manager, Watershed Planning and Source Protection, Conservation Halton International Joint Commission: Dr. Lucinda Johnson, Member of the IJC's Science Advisory Board, Associate Director and Water Initiative Director, University of Minnesota Natural Resources Research Institute, Duluth, MN Environment and Climate Change Canada: Ms. Tricia Mitchell, Acting Associate Regional Director General, Ontario Region, ECCC's Strategic Policy Branch Academic and NGO Panel: Howard Learner, Executive Director, Environmental Law and Policy Center (Chicago, IL) Todd Brennan, Senior Policy Director, Alliance for the Great Lakes, (Green Bay, WI) Noah Hall, Professor of Law, Wayne State University School of Law Diane Dupont, Scientific Director, Water Economics, Policy and Governance Network, Brock University
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".