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Record W4366779848 · doi:10.32370/ia_2023_03_11

Content and Organizational Preconditions of Training Future Music Teachers for Teaching Art to Schoolchildren

2023· article· en· W4366779848 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIntellectual Archive · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Social Development in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsMusic educationChinaProfessional developmentPedagogySpace (punctuation)Training (meteorology)Value (mathematics)SociologyPsychologyPolitical scienceComputer scienceGeography

Abstract

fetched live from OpenAlex

The article focuses on the changes in the content of the professional training future Music teachers. It is noted that a modern Music teacher is simultaneously a teacher of art in general required by the dynamics of socio-cultural processes in different countries of the world. The readiness of a Music teacher to teach art is considered by the example of music-pedagogical education in Ukraine and China. Two aspects of the reform of general art education in Ukraine are highlighted as the following: 1) focus on the comprehensive formation of key life competencies; 2) an integral approach to teaching art that synthesizes all its types in the students’ imaginations, as well as the connection between art and other areas of knowledge. The purpose of the article is to outline the existing views of the content of the professional training of Music teachers, its concentration on the integrated art education of future students. The express review of the organizational and content and preconditions (availability of relevant courses) in the professional training of Music teachers in universities of Ukraine based on the materials of the official websites of the institutions was carried out. The specifics of music-pedagogical education in China and the specific value of Ukraine’s achievements in the integration of the Chinese system music-pedagogical training of specialists into the world space are emphasized.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.312
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.081
GPT teacher head0.331
Teacher spread0.250 · 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