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Record W1499276828

Canadian Standards Association Activity in Acoustics - 2001 Update

2000· article· en· W1499276828 on OpenAlexaffvenueabout
Tim Kelsall

Bibliographic record

VenueCanadian acoustics · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsVariety (cybernetics)Association (psychology)EngineeringGenerally Accepted Auditing StandardsComputer scienceBusinessAccountingPsychologyArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

This article gives an update of Canadian Standards activities in Canada, especially those of the Canadian This article is an update for 2002 of Canadian Standards activities in Canada, especially those of the Canadian Standards Association.CSA currently have 11 Acoustics Standards and two more with significant acoustics content.Two committees are responsible for these standards.Z94 is responsible for one standard.Z107, through a variety of subcommittees involving many Canadian acousticians and industry representa tives write and review most other standards for the Canadian Acoustics commmunity.An update is given of the main activities and future directions of these groups SOMMAIRECet article présente une mise a jour des activités de normalisation au Canada pour 2002, tout particulière ment celles de l'Association canadienne de normalisation (ACNOR).L'ACNOR a présentement 11 normes acoustiques et deux autres comportant un contenu acoustique important.Deux commités sont responsables pour ces normes.Z94 est responsable pour une norme.Z I 07, par divers sous-comités com prenant plusieurs acousticiens canadiens et représentants de l'industrie rédigent et passent en revue la plu part des autres normes pour la communauté acoustique canadienne.Une vue d'ensemble de leurs activités premières ainsi que de l'orientation future de ces groupes y est présentée.

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)0.016
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.096
Threshold uncertainty score0.310

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0140.018
Science and technology studies0.0060.002
Scholarly communication0.0080.004
Open science0.0060.003
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0520.043

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 head0.035
GPT teacher head0.219
Teacher spread0.183 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes3
Has abstractyes

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