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Record W2029429980 · doi:10.1080/14613800701871397

Turning points: a transitional story of grade seven music students’ participation in high school band programmes

2008· article· en· W2029429980 on OpenAlexaff
Peter Gouzouasis, Julia Henrey, George Belliveau

Bibliographic record

VenueMusic Education Research · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMusic educationSet (abstract data type)Mathematics educationPsychologyThe artsPedagogyFocus groupSociologyVisual artsComputer science

Abstract

fetched live from OpenAlex

As a framework for our study, a broad set of themes related to the retention of students in music programmes are presented to enhance our understanding of how to retain band students. Data were collected from grade seven students comprising four focus groups. We used ethnodrama, an arts-based educational research approach, to represent results as a research script. We found that assumptions made in previous research have little in common with what grade seven and eight students feel. Life experiences may strongly impact their decisions, band students like music and find it ‘fun’, and peers define band students as smart, successful, and strong individuals. The impact of the band teacher is minimal. Finally, students who choose not to continue in band often made the choice to avoid music rather than a choice to take other options.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0150.009
Scholarly communication0.0080.004
Open science0.0030.010
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0050.002

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 head0.176
GPT teacher head0.379
Teacher spread0.203 · 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 designQualitative
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

Citations47
Published2008
Admission routes1
Has abstractyes

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