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Record W2125306328 · doi:10.1080/02643294.2011.567258

Singing proficiency in congenital amusia: Imitation helps

2010· article· en· W2125306328 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCognitive Neuropsychology · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversité de MontréalInternational Laboratory for Brain, Music and Sound Research
FundersCanadian Institutes of Health Research
KeywordsSingingImitationPsychologySyllableUnisonLyricsAudiologyMelodyCognitive psychologySpeech recognitionNeuroscienceAcousticsMedicineMusical

Abstract

fetched live from OpenAlex

Singing out of tune characterizes congenital amusia. Here, we examine whether an aid to memory improves singing by studying vocal imitation in 11 amusic adults and 11 matched controls. Participants sang a highly familiar melody on the original lyrics and on the syllable /la/ in three conditions. First, they sang the melody from memory. Second, they sang it after hearing a model, and third, they sang in unison with the model. Results show that amusic individuals benefit from singing by imitation, whether singing after the model or in unison with the model. The amusics who were the most impaired in memory benefited most, particularly when singing on the syllable /la/. Nevertheless, singing remains poor on the pitch dimension; rhythm was intact and unaffected by imitation. These results point to memory as a source of impairment in poor singing, and to imitation as a possible aid for poor singers.

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 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 score0.848
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.333
Teacher spread0.290 · 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