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Record W2049369369 · doi:10.4296/cwrj135

Water Allocation and the Permit to Take Water Program in Ontario: Challenges and Opportunities

2004· article· en· W2049369369 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Water Resources Journal / Revue canadienne des ressources hydriques · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicWater Resources and Governance
Canadian institutionsnot available
FundersMinistry of Natural Resources
KeywordsStakeholderWork (physics)Resource allocationPrincipal (computer security)Process (computing)Water resourcesKey (lock)Environmental planningResource (disambiguation)Water useBusinessEnvironmental resource managementEnvironmental economicsComputer scienceEnvironmental sciencePolitical scienceEngineeringEconomicsPublic relations

Abstract

fetched live from OpenAlex

Ontario's principal water allocation arrangement, the Permit to Take Water (PTTW) program, has been surrounded by controversy for a decade. Key concerns, among others, are lack of public input into permit decisions and uncertainty regarding priorities in water use. This paper describes the current water allocation process, assesses the ability of the PTTW program to address a number of key challenges and identifies opportunities to enhance water allocation, within the existing institutional framework, in Ontario. The assessment was based on document analysis, a review of literature and field work in several Ontario watersheds. Among the enhancements to the PTTW program recommended are mandatory reporting of daily water use; more transparent decision-making regarding permit applications reflecting adequate data on the water resource, municipal planning policies, and stakeholder input; clear and legally-established water use priorities; and a PTTW fee structure based on the volume of water withdrawn.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.232
Teacher spread0.189 · 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