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Record W4283832773 · doi:10.5539/ies.v15n4p9

ZeneZen, Creative Piano Pedagogy

2022· article· en· W4283832773 on OpenAlexvenueno aff
Tuğba ÇAĞLAK EKER

Bibliographic record

VenueInternational Education Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsPianoSilencePsychologyQualitative researchMusic educationPedagogyPiano pedagogyTeaching methodMathematics educationSociologyAestheticsArt

Abstract

fetched live from OpenAlex

This study aims to investigate in detail The ZeneZen Creative Piano Pedagogy. This research, which is an example of a case study, is a qualitative study in which descriptive research methods and techniques are used. For the research, both professors were interviewed. The interview was conducted within the framework of an unstructured interview form designed on 4 main lines of approach: methodology, application, difficulties, and its impact on other areas. The data obtained were analyzed by descriptively. As a result, it is seen that the ZeneZen pedagogical approach created for piano education is quite different from traditional piano education as an approach in which many elements are applied as opposed to only teaching and practicing piano works. In this approach, music and also silence are considered holistically, auditory, visual, bodily, and internal sensations are blended, and students learn to explore and communicate their imaginations and inner worlds through the piano.

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)0.002
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.010
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0010.002
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 head0.148
GPT teacher head0.393
Teacher spread0.245 · 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
GenreOther

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

Citations1
Published2022
Admission routes1
Has abstractyes

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