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Record W3082656253 · doi:10.3390/su12177099

Mind the Gap: Management System Standards Addressing the Gap for Ontario’s Municipal Drinking Water, Wastewater and Stormwater Ecosystem of Regulations

2020· article· en· W3082656253 on OpenAlexafffundabout
Edgar Tovilla

Bibliographic record

VenueSustainability · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsToronto Metropolitan University
FundersMitacs
KeywordsStormwaterBusinessEnvironmental planningWastewaterWater industryTransparency (behavior)AuditEnvironmental resource managementEnvironmental scienceEnvironmental engineeringWater supplyAccountingSurface runoff

Abstract

fetched live from OpenAlex

The research finds evidence in support of and wide recognition of the practical value of management system standards (MSS) by assisting municipalities in meeting their human health protection, environmental objectives, addressing environmental and property damage risks, and providing an additional mechanism of public accountability and transparency. Semi-structured interviews were applied to assess perceptions with practitioners and environmental non-governmental organizations on whether a similar approach to the legally required drinking water quality management standard (DWQMS) could be applied for the municipal wastewater and stormwater sectors. Twelve Ontario municipalities have adopted or are in the process of adopting an ISO 14001 environmental management system (EMS) standard for their wastewater and/or stormwater systems, which represents 66% of Ontario’s population. With the large urban centres (e.g., Toronto, York Region, Durham Region, Halton Region and Peel Region) adopting the standard, this is likely to influence small to medium-sized cities to follow a similar approach. Although, resources might be a factor preventing the cohort of smaller utilities voluntarily taking this path. Regulations governing Ontario’s municipal drinking water, wastewater and stormwater utilities were compared via gap analysis. Gaps on management of the system, performance monitoring, auditing and having minimum design criteria left the municipal wastewater and stormwater sectors behind in comparison with recently updated (2004–2008) regulatory framework for the drinking water sector. Based on the identification and review of significant gaps in wastewater and stormwater regulation (compared with the drinking water sector), environmental MSS should be incorporated to strengthen the regulatory framework of these sectors. These phenomena also depict a form of sustainable governance with the use of MSS, which are initiated, developed and regulated by non-state actors, recognizing the value of non-state rule instruments in the water, wastewater and stormwater sectors.

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)0.023
metaresearch head score (Gemma)0.038
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.718

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0090.005
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.290
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 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
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

Citations6
Published2020
Admission routes3
Has abstractyes

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