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Record W4413244048 · doi:10.3138/ccar.v14i2.391

Certifiable: Can a Class Action Address Canada’s On-Reserve Drinking Water Crisis?

2019· article· en· W4413244048 on OpenAlexaboutno aff

Bibliographic record

VenueCanadian Class Action Review · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsClass actionContext (archaeology)TortCertificationIndigenousPolitical scienceCollective actionAction (physics)Work (physics)CriticismPublic administrationLaw and economicsPublic relationsBusinessLawSociologyLiabilityState (computer science)PoliticsGeographyEngineeringComputer science

Abstract

fetched live from OpenAlex

Abstract: For decades, Canada has struggled to provide safe and equitable drinking water services and wastewater services to on-reserve residents. The funding regime currently in place has not delivered sustainable outcomes, and while the underlying issues are multi-faceted, the regime itself is a significant factor — and despite repeated criticism and public displays of failure, the regime has not changed. At a time when Canadians are attempting to work together to move beyond our colonial legacy and towards reconciliation with Indigenous Peoples in Canada, we must also address current-day inequities and the policies, such as those operating in this context, that sustain them. There have been scholarly discussions addressing the crisis and this paper intends to add to that discussion. The dominant theme of legal discourse to date has focused on constitutional law. I add to that discussion by proposing a cause of action in tort. I also propose that class actions have the potential to offer an effective procedural tool for advancing the potential claims, and I use the standard Canadian class action certification requirements as a framework for assessing the form and preferability of such a proceeding.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.723
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.049
GPT teacher head0.261
Teacher spread0.212 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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