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Record W2895497634 · doi:10.3368/le.94.4.496

Property Value Impacts of Wind Turbines and the Influence of Attitudes toward Wind Energy

2018· article· en· W2895497634 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

VenueLand Economics · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsWind powerProperty valueOpposition (politics)Property (philosophy)Value (mathematics)Environmental scienceBusinessEnvironmental economicsNatural resource economicsEconomicsPolitical scienceEngineeringMathematicsLawPoliticsStatisticsFinance

Abstract

fetched live from OpenAlex

The lack of consensus in the literature on wind turbines and property values suggests that factors such as attitudes toward wind energy may influence whether turbines will impact property values. Based on identified attitudes at the municipality level in the Canadian province of Ontario, this study compares impacts on property values, estimated using a difference-in-differences hedonic approach, between municipalities that oppose wind energy development and those that have not expressed opposition. The results indicate that wind turbines have negatively impacted property values in “unwilling host” municipalities, while no significant impacts are found in unopposed municipalities. <i>(JEL R11, R52)</i>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.014
GPT teacher head0.253
Teacher spread0.238 · 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