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Record W2463435126

Using the Parameters of Definition, D50, and Reverberation Time, RT, to Investigate the Acoustic Quality of Classrooms

2016· article· en· W2463435126 on OpenAlexvenueno aff
Samuel Ansay, Paulo Henrique Trombetta Zannin

Bibliographic record

VenueCanadian acoustics · 2016
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsnot available
Fundersnot available
KeywordsReverberationAcousticsQuality (philosophy)Impulse responseImpulse (physics)Architectural acousticsComputer scienceMathematicsPhysicsMathematical analysis
DOInot available

Abstract

fetched live from OpenAlex

The parameters of Definition, D50, and Reverberation Time, RT, described in the ISO 3382-1:2009 standard, were used in this study to evaluate the acoustic quality of classrooms which had been renovated. Following the aforementioned ISO standard, D50 and RT were measured via the impulse response method, using DIRAC 3.1 software. The analysis of RT in the classrooms after their renovation shows that this parameter increased, indicating that the quality of acoustic environments designed for the modern classroom is deteriorating. The analysis of the measured values of D50 led to the conclusion that, notwithstanding the increase in RT, many points inside the classrooms displayed good acoustic quality. This finding suggests that evaluations of the acoustic quality of classrooms should involve not only the analysis of RT but also of the parameter of Definition, D50.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.153
GPT teacher head0.388
Teacher spread0.235 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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