Colloquium Statement: Strategic Policy Directions for Air Quality Management
Bibliographic record
Abstract
Abstract ACKNOWLEDGMENTS This conference statement is based on the fifth and final NERAM colloquium on air quality management. We are grateful to the following individuals who served on Steering Committees for the NERAM Colloquium Series: Jane Barton, Environment Canada; Peter Boyle, European Institute of Oncology; Michael Brauer, University of British Columbia; Bert Brunekreef, Utrecht University; Rick Burnett, Health Canada; Quentin Chiotti, Pollution Probe; Tony Clarke-Sturman, Shell International; Ray Copes, BC Centre for Disease Control; Lorraine Craig, NERAM; Bart Croes, California Air Resources Board; Tom Dann, Environment Canada; Jacobo Finkelman, PAHO; Francesco Forestiere, Rome E Health Authority; Vincenza Galatone, Environment Canada; Geoff Granville, Shell Canada; Dan Greenbaum, Health Effects Institute; Mauricio Hernandez, Mexico National Institute for Public Health; Daniel Krewski, University of Ottawa; Michal Krzyzanowski, WHO European Centre for Environment and Health; Robert Maynard, UK Department of Health; Ken Ogilvie, Pollution Probe; Glen Okrainetz, BC Ministry of Environment; Franck Portalupi, Environment Canada; Jonathan Samet, Johns Hopkins University, Callum Searle, European Commission; John Shortreed, NERAM; James Sloan, University of Waterloo; Arpad Somogyi, European Commission; Mark Utell, University of Rochester; Matti Vainio, European Commission; Leendert van Bree, Netherlands Environmental Assessment Agency (RIVM); John Vandenberg, U.S. Environmental Protection Agency (EPA); Peter van den Hazel, International Society for Doctors for the Environment (ISDE); Sverre Vedal, University of British Columbia; Martin Williams, UK Department of Environment; Robert Willis, CanTox Environmental, Inc.; and Andre Zuber, European Commission. Addy Mitchell, Suzanne Therien, and Laurie MacDonald assisted with the arrangements for the colloquia. A special thanks is due to Robert Willes, who conceived of and initiated the NERAM Colloquium Series on Air Quality Management. Funding for the colloquia was provided by the B.C. Ministry of Environment, Canadian Petroleum Products Institute, Canadian Steel Producers Association, Shell International, Ontario Ministry of Environment, Health Canada, Environment Canada, and U.S. Environmental Protection Agency.
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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 | 0.052 | 0.044 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.021 | 0.012 |
| Open science | 0.007 | 0.011 |
| Research integrity | 0.063 | 0.026 |
| Insufficient payload (model declined to judge) | 0.054 | 0.027 |
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".