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Record W4249664780 · doi:10.32920/ryerson.14656629

Risky business : the role of risk perception in the Ontario source water protection planning process

2021· preprint· en· W4249664780 on OpenAlexaffabout
Mary K Rollinson-Lorimer

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsMcMaster UniversityToronto Metropolitan University
FundersMinistry of Education, India
KeywordsRisk perceptionPerceptionBusinessWater sourceEnvironmental planningProcess (computing)Water industryPublic participationEnvironmental resource managementPublic relationsWater supplyPsychologyEngineeringPolitical scienceEnvironmental scienceWater resource managementEnvironmental engineeringComputer science

Abstract

fetched live from OpenAlex

The purpose of this research was: 1. to investigate whether the perception of drinking water-related risk differs between the public and a Source Protection Committee established under Ontario's new Clean Water Act to make decisions about source water protection, 2. to explore how the public makes risk-based decisions about drinking water-related risk, and, 3. to estimate how any differences in drinking water-related risk perception and decision making between the Committee and the public may affect the implementation of the Clean Water Act. Mail and telephone surveys were conducted in a Southern Ontario Region of Study, and were given to samples of the public and the Committee. The two groups had different perceptions of water risk, which could pose challenges for making collective decisions about water risks. Successful source water protection depends on the ability of the Committees and the public to make appropriate decisions about risks to drinking water sources.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.291
Teacher spread0.265 · 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.

Study designQualitative
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

Citations2
Published2021
Admission routes2
Has abstractyes

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