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Record W1875201327 · doi:10.32920/25413130.v1

A Field Study of Preferred Listening Levels for Music Played on Personal Stereo Players

2024· article· en· W1875201327 on OpenAlexaffabout
Frank Russo, Mohammad Abdoli-E, Lu Zizhen, Ahlexxi Jelen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsActive listeningField (mathematics)PsychologyComputer scienceAcousticsMathematicsCommunicationPhysics

Abstract

fetched live from OpenAlex

A field study of preferred listening levels for music played on personal stereo players (PSP) was performed. Simultaneous recordings were made of PSP sound output levels and ambient noise levels in three environments in the city of Toronto, the subway (TTC), a busy street corner in Dundas Square, and a university library, Ryerson. Potential participants were approached in the same environment in which recordings were made. The initial contact was made nonverbally by gesturing for the user to remove the earphones. The majority of users followed the nonverbal request by removing one or both of the earbuds. Music levels were obtained by porting headphone-out of the PSP directly to mic-in of laptop and applying a correction factor to approximate the sound level that would be obtained with earbuds. The highest music levels were observed in the street environment.

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)0.003
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.175
GPT teacher head0.359
Teacher spread0.184 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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