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Record W2531008225 · doi:10.11575/prism/25372

Comparing Water Allocation in the Western United States and Southern Alberta: Does the Crown's Fiduciary Duty to Protect the Aboriginal Interest in Reserve Lands Hold any Water?

2015· dissertation· en· W2531008225 on OpenAlexfundaboutno aff
Kevin Marechal de Carteret

Bibliographic record

VenuePRISM (University of Calgary) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
FundersAboriginal Affairs and Northern Development Canada
KeywordsFiduciaryDutyCrown (dentistry)GeographyPolitical scienceLawMedicine

Abstract

fetched live from OpenAlex

Water allocation regimes in the Western United States and Alberta are compared to determine the applicability of the United States’ Indian reserved water rights doctrine, also known as the Winters doctrine, in the Treaty 7 area of Alberta. It is established that a significant difference in the division of powers between states and the federal government in the U.S., and provinces and the federal government in Canada, prevents application of the Winters doctrine in Canada. It is argued that the assumption of control over the Aboriginal interest in surface waters associated with Indian reserves through the North-west Irrigation Act, 1894 and the recognition and affirmation of Aboriginal and treaty rights in section 35 of the Constitution Act, 1982 give rise to an obligation on the part of the Crown in right of Alberta to furnish priority water allocations for use on reserves in Treaty 7.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0030.004
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.265
Teacher spread0.243 · 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 designQualitative
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
Published2015
Admission routes2
Has abstractyes

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