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Record W3038050446 · doi:10.4236/oalib.1106443

Wind Turbines: Why Some Families Living in Proximity to Wind Energy Facilities Contemplate Vacating Their Homes: An Overview of Findings

2020· article· en· W3038050446 on OpenAlexaff
Carmen Krogh, Robert Y. McMurtry, W. Ben Johnson, Anne Dumbrille, Mariana Alves‐Pereira, Jerry L. Punch, Debra Hughes, Linda Rogers, Robert W. Rand, Richard James, Stephen E. Ambrose, Lorrie Gillis

Bibliographic record

VenueOALib · 2020
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsWestern University
Fundersnot available
KeywordsWind powerBusinessArchitectural engineeringEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

Background: Some families living near wind energy facilities report permanently vacating their homes while others contemplate doing so.While these events are reported on the Internet and social media, research is lacking.This study explored why some people living in proximity to wind turbines contemplate such housing decisions.Methods: This ethics-reviewed study used the Grounded Theory methodology and audio recorded interviews with those who had previously lived, or were currently living near wind turbines.Audio files were transcribed to text, and the data analysed using NVivo12 Pro software.Objectives: To explore the events that influenced families living within 10 km from wind energy facilities to contemplate vacating their homes.To generate a substantive theory regarding these housing decisions.Results: All 67 participants associated occurrences of adverse health effects, or the potential for such effects when living within 10 km of a wind energy facility.Some temporarily left during the day and/or night to alleviate effects.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.120
GPT teacher head0.366
Teacher spread0.246 · 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 designObservational
Domainnot available
GenreReview

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

Citations7
Published2020
Admission routes1
Has abstractyes

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