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Record W7053391926

Water Law as a Watershed Endeavour: Federal Inactivity as an Opportunity for Local Initiative

2017· article· en· W7053391926 on OpenAlexafffund

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2017
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsRealNetworks (Canada)
FundersPublic Works and Government Services CanadaAustralian GovernmentMcGill University
KeywordsNucleofectionGestational periodTSG101HyporeflexiaDiafiltrationArticular cartilage damageDemotionLiquation
DOInot available

Abstract

fetched live from OpenAlex

While the federal government has steadily lightened its regulatory role over aspects of federal jurisdiction that influence provincial water management, this jurisdictional space has provided opportunities for sub-national arrangements that address environmental protection. First Nations, provincial and local governments are creating collaborative ecosystem-based management regulations and initiatives that respond to the ecological governance imperatives of planning at a watershed scale, protecting environmental flows, linking decisions about land and water, and adaptive management. Ecological monitoring, watershed-scale planning, decision-making resulting from treaties, protection of riparian areas and watersheds, and water law reform in the west all feature prominently in these sub-national approaches. Any federal action in the future that affects water will be challenged to support these appropriately scaled regulations and decision-making.

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)0.027
metaresearch head score (Gemma)0.022
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: Other · Consensus signal: none
Teacher disagreement score0.957
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0210.044
Scholarly communication0.0290.018
Open science0.0020.018
Research integrity0.0110.015
Insufficient payload (model declined to judge)0.0100.001

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 head0.050
GPT teacher head0.317
Teacher spread0.266 · 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
GenreOther

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

Citations6
Published2017
Admission routes2
Has abstractyes

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