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Record W2122302613 · doi:10.1177/0956797612442552

Something in the Way She Sings

2012· article· en· W2122302613 on OpenAlex
Michael W. Weiss, Sandra E. Trehub, E. Glenn Schellenberg

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychological Science · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversity of Toronto
FundersAssociation for Psychological Science
KeywordsMelodyPsychologyArousalCognitive psychologyPianoCommunicationCognitionMusicalSocial psychologyAcousticsVisual artsArtNeuroscience

Abstract

fetched live from OpenAlex

Across species, there is considerable evidence of preferential processing for biologically significant signals such as conspecific vocalizations and the calls of individual conspecifics. Surprisingly, music cognition in human listeners is typically studied with stimuli that are relatively low in biological significance, such as instrumental sounds. The present study explored the possibility that melodies might be remembered better when presented vocally rather than instrumentally. Adults listened to unfamiliar folk melodies, with some presented in familiar timbres (voice and piano) and others in less familiar timbres (banjo and marimba). They were subsequently tested on recognition of previously heard melodies intermixed with novel melodies. Melodies presented vocally were remembered better than those presented instrumentally even though they were liked less. Factors underlying the advantage for vocal melodies remain to be determined. In line with its biological significance, vocal music may evoke increased vigilance or arousal, which in turn may result in greater depth of processing and enhanced memory for musical details.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.166
GPT teacher head0.415
Teacher spread0.249 · 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