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Record W2080978394 · doi:10.1121/1.4782910

Fire resistance and noise control in multifamily buildings.

2008· article· en· W2080978394 on OpenAlexaffabout
J. D. Quirt, T.R.T. Nightingale

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2008
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsCeiling (cloud)Architectural engineeringFire resistanceApartmentContext (archaeology)Computer scienceFire protectionKey (lock)Forensic engineeringEngineeringCivil engineeringStructural engineeringComputer securityGeologyMaterials science

Abstract

fetched live from OpenAlex

The walls and floors that separate dwellings in apartment buildings and condominiums must serve many functions other than structural support. To select wall or floor assemblies, designers need ready access to collections of test ratings, so this talk begins with a brief overview of some key factors affecting both the fire resistance and sound transmission ratings of wall assemblies and floor/ceiling assemblies with gypsum board surfaces. For successful buildings, however, designers must also appreciate how the overall fire resistance and sound isolation may be compromised by details at junctions and penetrations, and use a system approach that respects the requirements for both sound and fire controls. This presentation will focus on fire stops and fire blocks in the context of Canadian codes and standards, illustrate design options for fire stops at some common junctions and penetrations (mainly in the context of lightweight framed constructions), and provide guidance on corresponding acoustical issues.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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
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
Published2008
Admission routes2
Has abstractyes

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