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Record W7033110244

Proceeding with (Pre)Caution: Environmental Principles as\nInterpretive Tools in Applications for Pre-trial Injunctions

2009· article· en· W7033110244 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsInterlocutoryHarmEnvironmental lawRelation (database)Precautionary principleStipulationTest (biology)Environmental policy
DOInot available

Abstract

fetched live from OpenAlex

In many cases of imminent environmental harm, a trial may take years. To prevent harm in the meantime, pre-trial injunctions are essential. The author highlights the important role of interlocutory injunctions in Canadian environmental litigation, uncovers the judicial assumptions and attitudes toward the environment which these decisions reveal, and proposes a precautionary approach to interpreting the interlocutory injunction test in environmental cases. She argues that prevailing judicial attitudes and presumptions in relation to environmental claims often negatively influence how the discretionary elements in procedural rules governing pre-trial injunctions are applied. Although there has been much analysis of principles such as the precautionary principle in substantive environmental law, the author argues that ifsubstantive law is to achieve its intended goals, principles such as precaution must also be applied when interpreting procedural rules. In environmental litigation, ecological realities and environmental law principles should guide discretion, particularly in decisions which appear. to be "merely procedural" yet have significant substantive effect.

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 imitation

Not 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.

metaresearch head score (Codex)0.037
metaresearch head score (Gemma)0.083
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.083
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0090.034
Scholarly communication0.0190.013
Open science0.0050.007
Research integrity0.0210.022
Insufficient payload (model declined to judge)0.0040.001

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 head0.031
GPT teacher head0.232
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2009
Admission routes1
Has abstractyes

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