MétaCan
Menu
Back to cohort
Record W4382400181 · doi:10.4236/oalib.1110043

Wind Turbines: An Exploration of Research Participants’ Living Experiences as a Consequence of Ontario’s Green Energy Act

2023· article· en· W4382400181 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOALib · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsWestern University
FundersMinistry of Education, IndiaMinistry of EnvironmentMinistry of Earth Sciences
KeywordsWind powerEnergy (signal processing)PsychologySociologyEngineeringPhysics

Abstract

fetched live from OpenAlex

In 2009, the province of Ontario, Canada enacted the Green Energy Act. Those appealing an approval of a Wind Power Plant (WPP) were challenged by a high burden of proof-proof of causality. The requirement was that, before the project was constructed and operating, it must be shown that it "will cause" serious harm to human health, or "serious and irreversible harm" to plant or animal life, or the natural environment. Methods: This ethicsreviewed study used the Grounded Theory methodology. It conducted faceto-face interviews with those who had previously lived or were currently living within 10 km from a WPP. Audio files were transcribed to text, and the data were coded and analysed using NVivo Pro (v.12.6) software. Objectives: To explore and generate a substantive theory of the events that motivate research participants living within 10 km from a WPP to contemplate their housing decisions. Results: Data analysis revealed that the Green Energy Act #Until his death on February 12, 2023, Mr.

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.

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 score0.206
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 integrity0.0000.000
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 head0.374
GPT teacher head0.501
Teacher spread0.126 · 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