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Record W1992596581 · doi:10.1525/mp.2011.28.3.247

Experiential and Cognitive Changes Following Seven Minutes Exposure to Music and Speech

2011· article· en· W1992596581 on OpenAlex

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

VenueMusic Perception An Interdisciplinary Journal · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsPsychologyCognitionStimulus (psychology)Experiential learningArousalCognitive psychologyCreativityMusic and emotionValence (chemistry)Emotional valenceMusic educationSocial psychology

Abstract

fetched live from OpenAlex

In Two Experiments, We Assessed the Experiential and cognitive consequences of seven minutes exposure to music (Experiment 1) and speech (Experiment 2). In Experiment 1, participants listened to music for seven minutes and reported their emotional experiences based on ratings of valence (pleasant-unpleasant) and two types of arousal: energy (energetic-boring) and tension (tense-calm). They were then assessed on two cognitive skills: speed of processing and creativity. Music varied in pitch height (high or low pitched), rate (fast or slow), and intensity (loud or soft). Experiment 2 replicated Experiment 1 using male and female speech. Experiential and cognitive consequences of stimulus manipulations were overlapping in the two experiments, suggesting that music and speech draw on a common emotional code. There were also divergent effects, however, implicating domain-specific influences on emotion induction. We discuss the results in view of a psychological framework for understanding auditory signals of emotion.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.081
GPT teacher head0.327
Teacher spread0.246 · 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