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Record W2112836218 · doi:10.1109/isemc.1994.385632

An update of CCIR business and residential noise levels

2002· article· en· W2112836218 on OpenAlexaffabout
W. Lauber, Jean M. Bertrand, P.R. Bouliane

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsNoise (video)FeelingTelecommunicationsOverhead (engineering)Noise levelComputer scienceEngineeringElectrical engineeringPsychologyArtificial intelligenceSocial psychology

Abstract

fetched live from OpenAlex

The results of a major survey of business, residential and rural man-made noise levels carried out in the Continental United States between 1966 and 1971 formed the basis of the CCIR model for man-made noise (CCIR Report 258-5). With the vast increase in electronic equipment over the past decade, there is a general feeling that there has been a significant increase in background noise levels, in urban areas. In 1993, measurements of the man-made noise levels were made in business areas of Montreal and Ottawa and in residential Ottawa. The results of these measurements tend to show that there has been no significant increase, and in fact, they tend to show a decrease in noise level, caused in part by the practice of using buried powerlines rather than overhead powerlines.>

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)0.006
metaresearch head score (Gemma)0.015
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: none
Teacher disagreement score0.124
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0210.022
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0040.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0160.011

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 head0.061
GPT teacher head0.385
Teacher spread0.324 · 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

Citations7
Published2002
Admission routes2
Has abstractyes

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