MétaCan
Menu
Back to cohort
Record W1550062160

Access to Justice: The Impact of Injunctions, Contempt of Court Proceedings, and Costs Awards on Environmental Protestors and First Nations

2010· article· en· W1550062160 on OpenAlexaffabout
Graham Mayeda

Bibliographic record

VenueSSRN Electronic Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsContemptLawPolitical scienceImprisonmentLegislationEconomic JusticeHuman rightsGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

The demonstrations against uranium mining exploration by aboriginal and non-aboriginal residents of Sharbot Lake, Ontario illustrate how three areas of law - the law of injunctions, contempt of court proceedings and the law of public interest costs - can have a negative impact on access to justice for protestors seeking to promote and protect environmental and human rights. Using these protests as a case study, the author suggests how the law in these three areas can beimproved in order to make it more difficult for private individuals, corporations, and government to use the threat of imprisonment and crippling costs awards to dissuade aboriginal and environmental protestors from vindicating their rights. These suggestions range from strategic legal action to change legal rules on injunctions, contempt of court proceedings and costs awards, to anti-SLAPP suit legislation to facilitate access to justice for protestors.

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)0.005
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.857

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0110.010
Scholarly communication0.0050.003
Open science0.0020.006
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0090.000

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 head0.017
GPT teacher head0.340
Teacher spread0.323 · 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 designNot applicable
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

Citations3
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicCriminal Law and EvidenceFrench-language works237,207