Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Canadian environmental law is a dynamic and exciting area that is playing an increasingly important role in furthering sustainable development policy. Environmental law has distinctive relevant principles, operating procedures, implications, and importance in comparison with other areas of law, and these distinctions must be appreciated both within the legal community and by all those who are concerned with the way that courts handle environmental cases. Environment in the Courtroom provides extensive insight into Canadian environmental law. Covering key environmental concepts and the unique nature of environmental damage, environmental prosecutions, sentencing and environmental offences, evidentiary issues in environmental processes and hearings, issues associated with site inspections, investigations, and enforcement, and more, this collection has the potential to make make a significant difference at the level of understanding and practice. Containing perspective and insight from experienced and prominence Canadian legal practitioners and scholars, Environment in the Courtroom addresses the Canadian provinces and territories and provides context by comparison to the United States and Australia. No other collection covers these topics so comprehensively. This is an essential reference for all those interested in Canadian 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.
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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 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 it