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Record W1830820296

Multiculturalism and Pedagogical Eclecticism: Towards a Paradigm Shift in Zimbabwean Music Education

2012· article· en· W1830820296 on OpenAlexaff
Tendai Muparutsa

Bibliographic record

VenueOpenDocs (Institute of Development Studies) · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMusic educationEclecticismCurriculumShonaPedagogyMusic GeographyMusicologySociologyMusicalLiteracyMulticulturalismMusic historyPsychologyVisual artsHistoryArtLinguistics
DOInot available

Abstract

fetched live from OpenAlex

This paper looks at the curriculum of music education in Zimbabwe and the approaches to the teaching of music. It begins with the historical background of Zimbabwean musical traditions of both the Shona and Ndebele people and how this music practice has been passed on from generation to generation. A case study approach is taken to reveal the extent to which students are exposed to music literature using a variety of methods. Four primary schools in both urban and rural settings are selected to ascertain the extent to which musical education prevails in these schools. The study reveals that the teaching of music skills is still lacking in Zimbabwe's primary schools. Ways of improving the teaching of music, music literacy and pedagogical principles used in schools are suggested. Conclusions drawn refer to music education curriculum as a paradigm which requires re-designing to include the production of music literacy in the school system. A ZJER article on the curriculum of music education in Zimbabwe.

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)0.009
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0120.045
Scholarly communication0.0120.008
Open science0.0010.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.267
GPT teacher head0.358
Teacher spread0.091 · 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 designNot applicable
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

Citations2
Published2012
Admission routes1
Has abstractyes

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