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Record W1967267471 · doi:10.4296/cwrj3103185

Public Perceptions and Attitudes Toward Stormwater Recycling for Irrigation

2006· article· en· W1967267471 on OpenAlexvenueaboutno aff
Ah-Ran Hwang, Caterina Valeo, Dianne Draper

Bibliographic record

VenueCanadian Water Resources Journal / Revue canadienne des ressources hydriques · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsStormwaterEnvironmental planningEconomic shortagePublic healthBusinessEnvironmental healthEnvironmental scienceMedicineNursingSurface runoff

Abstract

fetched live from OpenAlex

As part of conservation measures dealing with water shortages, the City of Calgary is developing a strategy to irrigate parks using stormwater from retention ponds. Since there are no guidelines within Alberta governing this practice, a comprehensive assessment is being conducted of stormwater recycling as an adaptation strategy to climate change. A portion of this assessment involves examining potential health risks associated with stormwater recycling, as well as general public attitudes toward this strategy. To this end, a survey was administered to residents living around Inverness Park in southeast Calgary. Of 500 questionnaires mailed out, 138 respondents indicated that there was little resistance to adopting stormwater recycling, but that agencies should monitor stormwater quality and make the public aware of health risks. Users were only slightly aware of health risks posed by degraded water quality, but were not willing to accept much risk with regard to their health.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.031
GPT teacher head0.210
Teacher spread0.179 · 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 designObservational
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

Citations19
Published2006
Admission routes2
Has abstractyes

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Same venueCanadian Water Resources Journal / Revue canadienne des ressources hydriquesSame topicUrban Stormwater Management SolutionsFrench-language works237,207