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Record W3123349336

The Right to Safe Water and Crown-Aboriginal Fiduciary Law: Litigating a Resolution to the Public Health Hazards of On-Reserve Water Problems

2013· article· en· W3123349336 on OpenAlexaboutno aff
Constance MacIntosh

Bibliographic record

VenueeYLS (Yale Law School) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsFiduciaryJurisprudenceLawArgument (complex analysis)Political scienceInternational lawLaw and economicsSociologyMedicineDuty
DOInot available

Abstract

fetched live from OpenAlex

Canada is at a crossroads. The gap between our national self-image as a country that respects human rights and the reality of socio-economic inequality and exclusion demands a re-engagement with the international human rights project and a recommitment to the values of social justice and equality affirmed in the early years of the Canadian Charter of Rights and Freedoms. This book sketches a blueprint for reconceiving and retrieving social rights in diverse spheres of human rights practice in Canada, both political and legal. Leading academics and activists explore how the Charter and administrative decision making should protect social rights to health, housing, food, water and the environment; how homelessness and anti-poverty strategies could incorporate international and constitutional rights; how the federal spending power, fiduciary obligations towards Aboriginal people, and substantive equality for women and people with disabilities, can become tools for securing social rights; and how social protest movements can interact with courts and urban spaces to create new locifor social rights claims. This book provides inspiration as well as an indispensable resource for all those who share an interest in advancing human rights and social justice in Canada.\nThe focus of this chapter is relations of injustice and finding a route for realizing a core social right that many Indigenous peoples live without: access to safe drinking water. This chapter explores whether fiduciary law could be the enabling instrument for Indigenous peoples residing on reserves to gain consistent access to safe drinking water.

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)0.004
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.082
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0200.021
Scholarly communication0.0110.003
Open science0.0040.004
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0050.000

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 head0.286
Teacher spread0.269 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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