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Record W2005432804 · doi:10.1121/1.4830744

New healthcare acoustics subcommittee: Overview and call for participation

2013· article· en· W2005432804 on OpenAlexaboutno aff
Gary Madaras

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2013
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsnot available
Fundersnot available
KeywordsQUIETPresentation (obstetrics)Health careIncentivePsychologyMedical educationMedicinePolitical science

Abstract

fetched live from OpenAlex

The Acoustical Society of America (ASA) Technical Committee on Architectural Acoustics (TCAA) formed a new Healthcare Acoustics subcommittee at the 165th meeting in Montreal. The 1st meeting of the Healthcare Acoustics subcommittee will be held at the 166th meeting in San Francisco. This presentation will provide an overview of the purpose of the subcommittee and introduce possible initiatives on which the subcommittee may want to initially focus. Examples: 1. Despite financial incentive to make their hospitals quieter, most healthcare providers cannot significantly increase their “quiet-at-night” (HCAHPS) scores in their older or newer inpatient facilities. The national “quiet-at-night” (HCAHPS) score remains the lowest of all patient experience quality indicators. Changing things may require a significant paradigm shift in the architectural and acoustical communities. 2. The Facility Guidelines Institute (FGI) has developed its new Guidelines for Design and Construction of Residential Health, Care, and Support Facilities to be published in early 2014. Those Guidelines for eldercare facilities will include terms and concepts such as “nature sounds,” “positive auditory distraction,” “auditory landmark,” “music,” “quiet rooms,” “quietly operating,” etc., that have yet be fully defined acoustically. Please attend and participate.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.054
GPT teacher head0.397
Teacher spread0.343 · 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 designNot applicable
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

Citations2
Published2013
Admission routes1
Has abstractyes

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