MétaCan
Menu
Back to cohort
Record W7098152561

ACOUSTICAL MEASUREMENTS IN SOME CANADIAN HOMES

2016· article· en· W7098152561 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsnot available
Fundersnot available
KeywordsApartmentNoise (video)Transmission lossResidenceArchitectural acoustics
DOInot available

Abstract

fetched live from OpenAlex

The means and standard deviations of several acoustical quantities are presented from measurements in 602 multiple residence homes. Although not a random sample, the homes included approximately equal numbers of apartment blocks and row housing as well as owners and renters from three different urban areas. The acoustical values included background noise levels and complete transmission loss measures of common walls. SOMMAIRE L'auteur présente, à partir de mesures effectuées dans 602 habitations â logements multiples, les moyennes et les écarts types de plusieurs quantities acoustiques. Même s'il ne s'agissait pas d'un échantillonnage au hasard, il était constitué d'un nombre approximativement égal d'immeubles et de maisons en rangée, et de propriétaires et de locataires de trois régions urbains. Les valeurs acoustiques qui ont été mesureés sont les suivantes: les niveaux de bruit de fond, les temps de réverbération et la perte par transmission des murs mitoyens.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.088
GPT teacher head0.400
Teacher spread0.312 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicNoise Effects and ManagementFrench-language works237,207