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Record W3198793247 · doi:10.1002/rev3.3267

A scoping review of research that examines El Sistema and Sistema‐inspired music education programmes

2021· review· en· W3198793247 on OpenAlexaff
Benjamin Bolden, Sean Corcoran, Alana Butler

Bibliographic record

VenueReview of Education · 2021
Typereview
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsQueen's University
FundersFaculty of Education, Queensland University of Technology
KeywordsExcellenceInclusion (mineral)Context (archaeology)CurriculumPsychologyPedagogyMusicalSociologyPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

Abstract Dominant discourses promote El Sistema and Sistema‐inspired music education programmes as positively transforming young lives through social inclusion and musical excellence. However, critics have raised concerns that the El Sistema model has little support from objective, evidence‐based research. To address this issue, the authors conducted a review of peer‐reviewed articles published in English between 2010 and 2020, in order to bring together descriptions and findings of research examining El Sistema and Sistema‐inspired programmes. Following a scoping review method, the authors identified 30 relevant articles for detailed review. The reported studies were identified to address programme impacts (including musical growth, academic achievement, cognitive development, and social‐emotional development) and programme design (e.g., pedagogical approaches, curricular focus, and programme challenges). Reported research methods included randomised control trials, longitudinal randomised studies, qualitative interview studies, a quasi‐experimental pre‐post design study, and ethnographic studies. Overall, the results of this scoping review strongly suggest that Sistema‐inspired music education programmes have great potential for positively impacting students, particularly in terms of musical and social‐emotional development, with less convincing but nevertheless reasonable evidence of increased academic achievement and cognitive development. The authors conclude that realising the potential of El Sistema and Sistema‐inspired programming requires context‐ and student‐specific teaching, curricula, and community support. Context and implications Rationale for this study Dominant discourses promote El Sistema and Sistema‐inspired music education as positively transforming young lives through social inclusion and musical excellence. However, critics have raised concerns that the Sistema model has little support from objective, evidence‐based research. To find out what existing research has actually revealed, a review was conducted of peer‐reviewed articles published in English between 2010 and 2020, bringing together descriptions and findings of research that has examined El Sistema and Sistema‐inspired programming. Why the new findings matter This review provides clear details of research that reports both the benefits and limitations of Sistema music education in terms of program impacts and program design. Implications for policy and practice Results suggest that Sistema music education has great potential for positively impacting students, particularly in terms of musical and social‐emotional development, with less convincing but some evidence of increased academic achievement and cognitive development. Accordingly, policymakers would do well to focus advocacy and improvement efforts on social‐emotional benefits. Findings suggest Sistema educators would do well to adopt more learner‐centred approaches, particularly those that promote self‐expression, creativity, and agency; resist the privileging of Eurocentric music traditions; actively value and celebrate diverse musics, backgrounds, and cultural expressions; and bring teaching methods in line with contemporary K‐12 and community music education practices.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.032
metaresearch head score (Gemma)0.111
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.032
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.111
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0310.030
Science and technology studies0.0020.002
Scholarly communication0.0090.007
Open science0.0030.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.361
GPT teacher head0.466
Teacher spread0.105 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations19
Published2021
Admission routes1
Has abstractyes

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