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Record W2171367898 · doi:10.1196/annals.1360.027

Musical Behavior in a Neurogenetic Developmental Disorder: Evidence from Williams Syndrome

2005· review· en· W2171367898 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

VenueAnnals of the New York Academy of Sciences · 2005
Typereview
Languageen
FieldNeuroscience
TopicWilliams Syndrome Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsWilliams syndromePsychologyAmygdalaCognitionMusicalDevelopmental psychologyNeuroimagingCognitive psychologyNeuroscience

Abstract

fetched live from OpenAlex

This paper reviews a series of studies performed to assess the musical abilities and behaviors of individuals with Williams syndrome, a neurogenetic developmental disorder, in the hope of eventually being able to link genes, neurodevelopment, and cognition. Two questionnaire studies addressing the role of music in everyday life, and unusual reactions to sound, are described. Additionally, the findings from two empirical behavioral studies and a neuroimaging study are reviewed. The findings show that individuals with Williams syndrome tend to be more engaged in musical activities than others, and I report a possible neuroanatomical correlate of this engagement, with increased activation in the right amygdala to music and to noise. Williams syndrome represents a compelling model of the relationship between genes, brains, and such complex cognitive behaviors as music.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0070.001
Research integrity0.0000.001
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 head0.326
GPT teacher head0.434
Teacher spread0.108 · 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