"Are We There Yet?": Reflections on the Success of the Environment Law Movement in Ontario
Bibliographic record
Abstract
In this short article, the author explores the history of the environmental law movement in Canada and explains how this history has affected many of the environmental laws and trends today. With a focus on Ontario, the author reports back from a round table discussion held in Toronto in early 2008. Some of Canada's leading environmental lawyers, as well as many of the pioneers of the environmental law movement, reflected at the round table on the extent to which their aspirations for strong, effective environmental laws have been met and how much more remains to be done. While we are not "there" yet, much has been accomplished. More importantly, a new generation of environmental lawyers has taken up the challenge of those early pioneers, and promises to advocate for environmental laws and policies that will ensure a safe and healthy environment for future generations.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.088 | 0.030 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.008 | 0.009 |
| 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".