The case for establishing a board of review for resolving environmental issues: The science court in Canada
Bibliographic record
Abstract
Abstract Technology and scientific advancements are accelerating changes in society at a pace that is challenging the abilities of government regulatory agencies and legal courts to understand the benefits and costs of these changes to humans, wildlife, and their environments. The social, economic, and political facets of concern, such as the potential effects of chemicals, complicate the preparation of regulatory standards and practices intended to safeguard the public. Court judges and attorneys and, in some cases, lay juries are tasked with interpreting the data and implications underlying these new advancements, often without the technical background necessary to understand complex subjects and subsequently make informed decisions. Here, we describe the scientific-quasi-judicial process adopted in Canada under the Canadian Environmental Protection Act, 1999, which could serve as a model for resolving conflicts between regulatory agencies and the regulated community. An example and process and lessons learned from the first Board of Review, which was for decamethylcyclopentasiloxane (D5; CAS# 541-02-06), are provided. Notable among these lessons are: 1) the need to apply state-of-the-science insights into the regulatory process, 2) to encourage agencies to continuously review and update their assessment processes, criteria, and models, and 3) provide these processes in guidance documents that are transparent and available to all stakeholders and generally foster closer cooperation between regulators, the academic community, industry, and nongovernment organizations (NGOs). Integr Environ Assess Manag 2016;12:572–579. © 2015 SETAC Key Points Advocate for the use of independent boards of review to adjudicate technical issues involving chemicals in the environment. Resolving conflicts between regulatory agencies and the regulated community. The formal judicial process is not the most effective venue in which to fully adjudicate complex issues related to chemicals and the environment.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".