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Record W3108951632 · doi:10.2166/wqrj.2020.124

Value of a made-in-Ontario management system standard for municipal wastewater and stormwater utilities

2020· article· en· W3108951632 on OpenAlexafffundabout
Edgar Tovilla

Bibliographic record

VenueWater Quality Research Journal · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsToronto Metropolitan University
FundersMinistère de l’Environnement, de la Protection de la nature et des Parcs
KeywordsStormwaterBusinessEnvironmental planningAccountabilityWastewaterGovernment (linguistics)Local governmentValue (mathematics)Stormwater managementEnvironmental resource managementEnvironmental sciencePublic administrationEnvironmental engineeringPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract This paper builds on previous research to address the question of whether there is practical value for a made-in-Ontario municipal management system standard (MSS) for wastewater and stormwater related activities, in addition to the Drinking Water Quality Management System Standard (DWQMS) that is already statutorily required. This research specifically addressed the questions: is there value in a mandatory or voluntary MSS; are there neutral, positive, or negative effects of having an MSS; and what standard is more adequate? Through a focus group method, this research finds evidence in support of and wide recognition of the practical value an MSS in assisting municipalities in meeting their environmental objectives, addressing property damage risks, providing an additional mechanism of public accountability, and improving alignment with the legal structure. It was also apparent that there is no political appetite in the provincial government to embark on a mandated MSS, so the preferred option at this time appears to be a provincially endorsed, voluntary, sector-specific standard for wastewater and for stormwater, which could constitute a catalyst to boost voluntary uptake of MSS by small to medium municipalities (as is already occurring with large municipalities). This standard could be based on a customized variation of the ISO 14001 and DWQMS.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.126
GPT teacher head0.381
Teacher spread0.255 · 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 teacher head, 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

Citations1
Published2020
Admission routes3
Has abstractyes

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