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Record W7019704312

A hierarchy of flanking transmission paths in lightweight wood frame construction

2009· article· en· W7019704312 on OpenAlexaffvenue

Bibliographic record

VenueNPARC · 2009
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsFlanking maneuverHierarchySoundproofingSound transmission classFrame (networking)Transmission (telecommunications)Enhanced Data Rates for GSM Evolution
DOInot available

Abstract

fetched live from OpenAlex

Flanking transmission exists in all buildings. The importance of flanking transmission, in determining the apparent sound insulation experienced by occupants of multi-family dwellings, is established by the quality of the acoustical design. This paper examines the hierarchy of airborne flanking paths that might be expected in lightweight wood framed row or terraced construction. From this review of flanking paths in constructions without acoustical treatments, it is evident that the apparent sound insulation is determined by a relatively small number of paths. The hierarchy of paths can be described in two conceptual levels. The first and highest level is that of the sum of paths involving a particular junction. (There are typically four flanking junctions – one for each edge of the nominally separating wall or floor assembly.) The second is a lower level where individual paths are examined. With knowledge of the hierarchy, and hence the dominant path(s), it is possible to develop design strategies for attaining the desired level of airborne sound insulation. With additional information on the cost of various treatments design trade-offs can be evaluated which can lead to multi-family dwellings with high sound insulation that do not have increased cost.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.008
GPT teacher head0.222
Teacher spread0.214 · 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 designBench or experimental
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
Published2009
Admission routes2
Has abstractyes

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Same venueNPARCSame topicAcoustic Wave Phenomena ResearchFrench-language works237,207