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Record W2136140310 · doi:10.1177/0305735610376467

Preferences for piano versus harpsichord performances in Renaissance and Baroque keyboard music

2010· article· en· W2136140310 on OpenAlexaff
Joel Wapnick, Kristina Keech, Gina J. Ryan

Bibliographic record

VenuePsychology of Music · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsMcGill University
Fundersnot available
KeywordsHarpsichordPianoMusicalPreferenceArtMOZARTBaroqueThe RenaissancePsychologyChoseConcertoStyle (visual arts)Visual artsLiteratureArt historyMathematics

Abstract

fetched live from OpenAlex

The purpose of this study was to determine whether preferences for recorded piano versus harpsichord renditions of the same music, controlled for tempo and pitch level, would be affected by style, tempo, and musical experience. Two hundred and eighty undergraduate music majors and non-majors heard 12 pairs of excerpts. Each pair consisted of a recording performed on piano and a recording performed on harpsichord. Participants chose the version they preferred, or chose no preference. Results showed that musical experience affected preferences: preference for piano was significantly stronger for non-majors than for majors, and for participants who never learned to play a musical instrument than for participants who had at least one year of applied musical experience. Preference for harpsichord was stronger for performers than non-performers, and approached significance in the major–non-major comparison. Both majors and non-majors chose harpsichord versions more frequently when excerpts were fast rather than slow, and when they were of Renaissance music than when they were of Baroque music. Harpsichord was preferred over piano in only 2 of the 12 trials, and both were of fast Renaissance 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.

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 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 score0.774
Threshold uncertainty score0.557

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 integrity0.0000.000
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 head0.113
GPT teacher head0.351
Teacher spread0.238 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations4
Published2010
Admission routes1
Has abstractyes

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