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Towards a Neurobiology of Musical Emotions

2010· book-chapter· en· W2489340292 on OpenAlexaff
Isabelle Peretz

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMusicalPerspective (graphical)PsychologyMusic and emotionMusic psychologyCognitive scienceNeuropsychologyCognitive psychologyNeuroscienceCognitionMusic historyArtLiteratureVisual arts

Abstract

fetched live from OpenAlex

Abstract This chapter presents current knowledge about musical emotions from a neuropsychological perspective. In doing so, it adopts a biological perspective. Music, and a fortiori musical emotions, are generally not regarded as biological functions. Rather, music-related functions are considered as a refined product of human culture. Over the last decade, however, research has yielded a considerable amount of data which has suggested that music might be part of human nature. The study of musical emotions plays a crucial role in this biological perspective. Indeed, musical emotions are inherent to experiences of music and may account for its ubiquity. Accordingly, understanding the biological origin of musical emotions may shed light on the biological roots of music processing more generally. The chapter examines the extent to which musical emotions might be biologically determined. Since the evidence points to biological foundations of musical emotions, it considers the possibility that music is particularly suited (or designed) to invade emotion circuits that have evolved for emotional vocalizations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.751
Threshold uncertainty score0.997

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.061
GPT teacher head0.286
Teacher spread0.225 · 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.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations137
Published2010
Admission routes1
Has abstractyes

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