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Record W2069828823 · doi:10.1177/0305735614554639

Self-regulation and music learning: A systematic review

2014· review· en· W2069828823 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

VenuePsychology of Music · 2014
Typereview
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsQueen's UniversityConcordia University
Fundersnot available
KeywordsPsychologyFeelingCognitive psychologyPsychological interventionAdaptation (eye)MusicalSelf-controlEmpirical researchSocial psychologyEpistemologyNeuroscience

Abstract

fetched live from OpenAlex

Recent research into how individuals achieve their musical goals has been enriched by studies investigating music practice through the lens of self-regulation, or the goal-orientated planning, cyclical adaptation, and reflection of an individual’s thoughts, feelings and actions. The article aims to review the available empirical evidence in order to identify the relationship between processes contained within Zimmerman’s (2000) model of self-regulation and specific music learning variables. It also attempts to discover how self-regulatory behavior relates to both general music instruction and interventions designed to enhance self-regulation. Findings indicate weak, positive relationships with the variables of interest, but suggest self-regulation instruction is the most strongly related variable. The discussion proposes that future research may benefit from investigations of self-regulation within a broader spectrum of musicians and an exploration of participant-driven understandings of self-regulation theory.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.740
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.124
GPT teacher head0.336
Teacher spread0.212 · 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