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Record W1029607175 · doi:10.1177/0255761415590361

Towards the future: Teachers’ vision of professional development in the arts

2015· article· en· W1029607175 on OpenAlexaff
Bernard W. Andrews

Bibliographic record

VenueInternational Journal of Music Education · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsThe artsAmateurProfessional developmentArts in educationPedagogyPersonal developmentPerforming arts educationVisual arts educationPerceptionSociologyFaculty developmentPsychologyPolitical scienceVisual artsArt

Abstract

fetched live from OpenAlex

Teachers enrolled in a professional development program involving artists on site at cultural institutions participated in a study in which they expressed their views on upgrading in the arts. Findings indicate that they were influenced in their own schooling by passionate teachers who conveyed the importance of the arts. Their progress was impeded by a self-perception of their own limited artistic ability. Community experiences, such as private lessons and amateur productions, played a more significant role in their development. The ideal scenario for their personal and professional development in the arts is an environment where discipline-based and integrative curricular activities are offered, and both the creative process and the creative product are valued. Lack of personal expertise, limited professional development opportunities, and inadequate funding are obstacles that can be overcome by teacher commitment to upgrading in the arts, a range of arts courses offered by education faculties, and involvement by arts stakeholders in program design and delivery, respectively.

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)0.006
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 score0.010
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.009
Scholarly communication0.0100.005
Open science0.0010.006
Research integrity0.0020.005
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 head0.090
GPT teacher head0.326
Teacher spread0.236 · 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

Citations18
Published2015
Admission routes1
Has abstractyes

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