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Record W4232659471 · doi:10.32920/ryerson.14662662.v1

Degree Of Compliance With Public Consultation For Awarded Wind Turbine Contracts Under LRP I Process

2021· preprint· en· W4232659471 on OpenAlexaffabout
Sophie Boucher

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicUnderground infrastructure and sustainability
Canadian institutionsToronto Metropolitan UniversityLaurentian University
Fundersnot available
KeywordsGovernment (linguistics)Wind powerProcurementRenewable energyBusinessProcess (computing)Public consultationPublic engagementElectricityPublic relationsScale (ratio)Public administrationOperations managementEngineeringPolitical scienceMarketingCivil engineeringComputer scienceGeography

Abstract

fetched live from OpenAlex

Municipalities and residents criticized the planning process for large-scale wind energy projects imposed on them under the Green Energy Act, 2009 (GEA). As such, the Ontario government promised improvements in public engagement, and the FIT policies were replaced by the Large Renewable Procurement (LRP) process. To determine the compliance with the Independent Electricity System Operator’s engagement process under the LRP I, interviews with municipal planners and abutting landowners were conducted, and document information was reviewed. The key findings of this study include: 1) the final results did not support increased engagement statements made by both, former Minister of Energy Bob Chiarelli and Premier of Ontario Kathleen Wynne, as the majority of projects were awarded a contract without municipal support or abutting landowner support; and 2) all developers conducted mandatory consultation; however, the majority failed to truly engage with all stakeholders who would be the most affected by the project.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.272
Teacher spread0.227 · 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 designSimulation or modeling
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

Citations0
Published2021
Admission routes2
Has abstractyes

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