MétaCan
Menu
Back to cohort
Record W2517015878

Considerations regarding an acoustic criterion for wind turbine acceptability

2016· article· en· W2517015878 on OpenAlexvenueaboutno aff
William K. Palmer

Bibliographic record

VenueCanadian acoustics · 2016
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAnnoyanceTurbineWind powerNoise pollutionSound pressureNoise (video)Offshore wind powerEngineeringEnvironmental scienceTelecommunicationsMarine engineeringAcousticsComputer scienceNoise reductionElectrical engineeringLoudnessAerospace engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

A common criterion for approval of wind turbine installation in Canada is that sound pressure level does not exceed 40 dBA outside the home of a rural receptor when the wind speed at 10 metres elevation does not exceed 4 metres per second. This paper looks at other considerations that might be considered based on the experience following installation of wind turbines using the common criterion. Thousands of complaints filed with regulators from residents living in homes approved under the current acceptability criterion provide clues. Residents note the intrusiveness of an imposed sound much higher in amplitude and different in quality than the natural background. Residents report disrupted sleep, and adverse health consequences that follow. The subject of amplitude modulation of wind turbine noise emissions (otherwise described as a cyclical noise rising and falling in magnitude) has been a principal focus of wind turbine noise international conferences in Glasgow (2015) and Denver (2013). Monitoring of the sound inside homes displays a different character than outside, showing pulses with peak to trough amplitudes exceeding 5 dB at frequencies that are within the audible range. The fundamental premise of Environmental Protection Acts are that emissions of a contaminant such as noise do not cause an adverse effect including loss of enjoyment of normal use of property, or annoyance that lead to human health impacts. Experience has shown the current criterion is not allowing this fundamental premise to be achieved.

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0020.000

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 head0.058
GPT teacher head0.381
Teacher spread0.323 · 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 designNot applicable
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
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueCanadian acousticsSame topicNoise Effects and ManagementFrench-language works237,207