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Record W4311526950 · doi:10.7203/leeme.50.24657

¿Cómo se refleja la legislación educativa en los libros de texto? Un estudio de metodología mixta en relación a los contenidos mínimos de educación musical en el segundo ciclo (3-6 años) de educación infantil

2022· article· es· W4311526950 on OpenAlexaff
Daniel Mateos-Moreno, Cristina Isabel Gallego García

Bibliographic record

VenueRevista Electrónica de LEEME · 2022
Typearticle
Languagees
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsAssociation of Canadian College and University Teachers of English
Fundersnot available
KeywordsHumanitiesMusicalPhilosophyArtLiterature

Abstract

fetched live from OpenAlex

Si bien existen multitud de trabajos dedicados al estudio de la legislación educativa o de los libros de texto, son escasos los que se dedican a su investigación de forma conjunta. En el presente estudio, se ha investigado de qué manera la legislación estatal española que regula los contenidos mínimos preceptivos en Educación Infantil en la etapa de 3 a 6 años se refleja en los libros de texto, con respecto a los contenidos relativos al desarrollo de la educación musical. A través de una metodología mixta polietápica, se han llevado a cabo análisis cualitativos de teoría fundamentada y de contenido, así como análisis cuantitativos descriptivos y relacionales de clúster y de la varianza. Los resultados aportan evidencias sobre la existencia de una moderna filosofía de educación musical subyacente en la legislación estudiada, discrepancias entre esta filosofía y su desarrollo en libros de texto, así como la existencia de diferentes perfiles respecto al tratamiento de los contenidos de música. Finalmente, discutimos implicaciones de los resultados en relación al uso de los libros de texto en esta etapa educativa y en relación a la educación musical.

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 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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0120.000

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 head0.031
GPT teacher head0.318
Teacher spread0.286 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRevista Electrónica de LEEMESame topicDiverse Music Education InsightsFrench-language works237,207