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Record W1942650672 · doi:10.1002/wat2.1117

Implementing drinking water security: the limits of source protection

2015· article· en· W1942650672 on OpenAlexaboutno aff
Christina Cook

Bibliographic record

VenueWiley Interdisciplinary Reviews Water · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsAmenityCorporate governanceBusinessEnvironmental planningLegislationWater securityResource (disambiguation)Environmental resource managementWater resourcesPolitical scienceLawEconomicsGeographyEcologyFinance

Abstract

fetched live from OpenAlex

While the implementation of drinking water security legislation was an important response to a water quality tragedy in Ontario, Canada, its effect has been circumscribed by hydrosocial relations underlying water governance arrangements. The long‐established land‐use planning—and more recent growth planning and place‐based planning—laws and policies make water management secondary to land whether it is as part of the ecological system, as a resource, or as an amenity. The effect is to subjugate source water protection to land use and, indeed, economic development priorities for resource extraction. The Ontario case shows that implementation of proactive drinking water security through source protection law and policy will be circumscribed by hydrosocial relations that prioritize the economic development. To implement proactive drinking water security will require a fundamental rethinking of the trade‐offs implicit in our existing hydrosocial relations. WIREs Water 2016, 3:5–12. doi: 10.1002/wat2.1117 This article is categorized under: Human Water > Water Governance

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)0.007
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.432
Threshold uncertainty score0.860

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.037
Scholarly communication0.0090.006
Open science0.0010.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.055
GPT teacher head0.336
Teacher spread0.281 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations11
Published2015
Admission routes1
Has abstractyes

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