Environment in the Courtroom II
Bibliographic record
Abstract
Courts, regulatory tribunals, and international bodies are often seen as a last line of defense for environmental protection. Governmental bodies at the national and provincial level enact and enforce environmental law, and their decisions and actions are the focus of public attention and debate. Court and tribunal decisions may have significant effects on environmental outcomes, corporate practices, and raise questions of how they may best be effectively and efficiently enforced on an ongoing basis. Environment in the Courtroom, Volume II examines major contemporary environmental issues from an environmental law and policy perspective. Expanding and building upon the concepts explored in Environment in the Courtroom, it focuses on issues that have, or potentially could be, the subject of judicial and regulatory tribunal processes and decisions. This comprehensive work brings together leading environmental law and policy specialists to address the protection of the marine environment, issues in Canadian wildlife protection, and the enforcement of greenhouse gas emissions regulation. Drawing on a wide range of viewpoints, Environment in the Courtroom, Volume II asks specific questions about and provides detailed examination of Canada’s international climate obligations, carbon pricing, trading and emissions regulations in oil production, agriculture, and international shipping, the protection of marine mammals and the marine environment, Indigenous rights to protect and manage wildlife, and much more. This is an essential book for students, scholars, and practitioners of environmental law.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.044 | 0.011 |
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".