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Record W2083462867 · doi:10.1080/02673843.2010.9748036

Personality Metatraits and Music Preferences in Adolescence: A Pilot Study

2010· article· en· W2083462867 on OpenAlexaff
Dave Miranda, Julien Morizot, Patrick Gaudreau

Bibliographic record

VenueInternational Journal of Adolescence and Youth · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversité de MontréalUniversity of Ottawa
Fundersnot available
KeywordsAgreeablenessConscientiousnessPsychologyPersonalityExtraversion and introversionOpenness to experienceHierarchical structure of the Big FiveDevelopmental psychologyBig Five personality traitsPersonality psychologySocial psychologyNeuroticismAlternative five model of personality

Abstract

fetched live from OpenAlex

ABSTRACT Exploring relations between the personality metatraits of the Five-Factor Model of personality (Stability and Plasticity) and music preferences in adolescence represents a new research path. The objective of this pilot study was to explore the potential of considering these two personality metatraits in research on adolescent music preferences (Metal, Soul, Electronic, Pop, Classical, and Eclecticism). The sample was composed of 30 regular high school students (age: M = 16.45, SD = 0.81 years). The results confirmed that personality metatraits seem to be linked to music preferences in adolescence. As hypothesized, Plasticity (Extraversion and Openness) was associated with music preferences, while Stability (Agreeableness, Conscientiousness, and Neuroticism inverted) was not. Some implications for future developmental research on adolescent music preferences (e.g., Plasticity and the dopaminergic system) are highlighted.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.085
GPT teacher head0.319
Teacher spread0.233 · 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 designObservational
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

Citations10
Published2010
Admission routes1
Has abstractyes

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