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Record W2892950359 · doi:10.1177/1029864918802331

Music and cultural prejudice reduction: A review

2018· review· en· W2892950359 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

VenueMusicae Scientiae · 2018
Typereview
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPrejudice (legal term)PsychologySocial psychologyActive listeningHarmony (color)EmpathyRepertoireCommunication

Abstract

fetched live from OpenAlex

Music is often believed to be a universal cultural language that may bring different people together, in harmony. In this article, we review studies that examined interrelations between music and prejudice reduction during youth development. More specifically, our aim is to reflect on potential circumstances under which music listening and music making reduce cultural prejudice in childhood, adolescence, and emerging adulthood. We argue that this research theme is important but understudied. Nonetheless, the rare published empirical studies that we found ( N = 13) cover a broad repertoire of research methods and outcomes that point to pertinent research directions for cultural attitude change, intergroup processes, positive intergroup contact, and empathy. Overall, although more research is needed, these preliminary findings suggest that music may have some potential to reduce cultural prejudice during youth development.

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)0.000
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: Review · Consensus signal: Review
Teacher disagreement score0.592
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.156
GPT teacher head0.447
Teacher spread0.292 · 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