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Record W4388570407 · doi:10.1177/1351010x231206240

The relationship between the in situ flanking sound reduction index and the laboratory measured flanking normalized level difference

2023· article· en· W4388570407 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.

Bibliographic record

VenueBuilding Acoustics · 2023
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsFlanking maneuverReduction (mathematics)StatisticsIndex (typography)Computer scienceMathematicsAcousticsEnvironmental sciencePhysicsEngineeringStructural engineering

Abstract

fetched live from OpenAlex

From Gerretsen’s 1979 Applied Acoustics paper through four series of standards including ISO 12354 and ISO 10848, a significant amount of effort has gone into creating a standardized prediction method that uses standardized laboratory measured values to predict the apparent sound reduction index to demonstrate compliance with regulations. The terms and equations in the prediction method have evolved over time as researchers have evaluated the results of the prediction method, especially in the case of lightweight constructions for which statistical energy analysis is not well suited. To reflect the changes to other equations in the prediction method over the past 40 years, this paper suggests an update to the relationship in ISO 12354-1 between the in situ flanking sound reduction index and the laboratory measured flanking normalized level difference. The suggested changes are of importance for Type B elements such as timber and steel framed walls and floors for which the prediction of flanking transmission according to ISO 12354 requires the measurement of the level difference in laboratory flanking facilities.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.673

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.072
GPT teacher head0.293
Teacher spread0.221 · 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