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Record W2925164349

The Evolution of Canadian Water Law and Policy: Securing Safe and Sustainable Abundance

2018· article· en· W2925164349 on OpenAlexaffabout
Jamie Benidickson

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicWater Resources and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSustainabilityLegislationLawPolitical scienceAppropriationDoctrineEnvironmental lawEcology
DOInot available

Abstract

fetched live from OpenAlex

Canadian water law has evolved over an extended period of time as a complex mixture of federal and provincial legislation and case law with provincial arrangements influenced by both riparian and prior appropriation doctrine as well as by the civil law tradition of Quebec. The article reviews highlights from the long-term evolution of Canadian water law, policy and institutions following a chronological path from Confederation in 1867 to the present. Three key shifts that have more recently begun to appear in background assumptions of Canadian water law are then identified. In particular, it is noted (1) that general confidence in the abundance of water is giving way to concerns over security and occasional scarcity, (2) that the primacy of human water uses is gradually being moderated by acknowledgement of the importance of environmental flows, and (3) that international considerations may be relevant to a greater degree than previously contemplated. The concluding section of the paper presents emerging policy directions in relation to the legacy of historic water law and policy decisions and the shifting assumptions previously reviewed with emphasis on sustainability, conservation initiatives and watershed frameworks.

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)0.011
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 score0.760
Threshold uncertainty score0.881

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0140.023
Scholarly communication0.0110.004
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.004
GPT teacher head0.222
Teacher spread0.219 · 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

Citations10
Published2018
Admission routes2
Has abstractyes

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