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Record W2810408797

RWDI: Acoustics, Noise, and Vibration Consultants

2018· article· en· W2810408797 on OpenAlexaffvenueabout
Steve Meszaros, Clair Wakefield, Briet Louise Coetzer, Andrew Williamson, Matthew S. Johnston

Bibliographic record

VenueCanadian acoustics · 2018
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsRowan Williams Davies & Irwin (Canada)
Fundersnot available
KeywordsArchitectural acousticsWork (physics)Political scienceHumanitiesEngineeringLibrary scienceArchitectural engineeringArtComputer scienceMechanical engineeringElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

RWDI is a Canadian multi-disciplinary consulting firm with offices across Canada that provide acoustic consulting services, including offices in Vancouver and Victoria. The broad range of projects, services, and experience are highlighted. The core of our work is in environmental and architectural acoustics, noise, and vibration projects, but is further detailed in highlights of our work in mass timber construction, code and bylaw testing, and policy development. It is concluded that the work we do ultimately contributes to helping improve our communities through technical support to the design and construction community. RWDI est une firme de consultation multidisciplinaire canadienne ayant des bureaux partout au Canada qui offrent des services de consultation acoustique, y compris des bureaux a Vancouver et a Victoria. Le large eventail de projets, de services et d'experiences est mis en evidence. Le cœur de notre travail concerne l'acoustique environnementale et architecturale, le bruit et les vibrations, mais il est plus detaille dans les faits saillants de nos travaux sur la construction en bois massif, les essais de codes et de reglements et l'elaboration de politiques. Il est conclu que le travail que nous faisons finalement contribue a ameliorer nos communautes par le biais de soutien technique a la communaute de la conception et de la construction.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.570
Threshold uncertainty score0.537

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.192
Teacher spread0.185 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2018
Admission routes3
Has abstractyes

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