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Listen to the brain: a Biological perspective On musical emotions

2001· book-chapter· en· W3018438082 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

Venuenot available
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNeuropsychologyPsychologyPerspective (graphical)Cognitive scienceCognitive psychologyNeural correlates of consciousnessCognitionCognitive neuropsychologyMusicalNeuroscienceArtLiterature

Abstract

fetched live from OpenAlex

Abstract The functioning of the brain is fascinating. It fascinates for the obvious reason that the brain is the commander of all our actions, thoughts, and motivations. By studying its functioning, the hope is to obtain crucial information about the biological determinants of human cognition and emotion. Neuropsychology is the discipline concerned with these questions. As its name indicates, neuropsychology aims to relate neural mechanisms to mental functions. It is an old discipline, dating back to the discovery that speech was related to the functioning of a small region of the left brain by Broca in 1861. Following this discovery, the neural correlates of musical abilities were similarly scrutinized (for a recent review, see Marin & Perry 1999). Although the neuropsychological approach to music is a century old, progress has been slow. term.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.938
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.005

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 head0.103
GPT teacher head0.316
Teacher spread0.213 · 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