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Record W4388147236 · doi:10.1515/9781552389874

Environment in the Courtroom

2019· book· en· W4388147236 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary Press eBooks · 2019
Typebook
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.869
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.204
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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