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Record W3100252614

Desigualdades e inecuaciones en textos escolares chilenos de educación primaria: un análisis de las praxeologías matemáticas

2017· article· es· W3100252614 on OpenAlexaboutno aff
Cristina Ayala-Altamirano, Alejandra Besa

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Chile, al igual que paises como Australia, Canada, China o EEUU, ha incorporado en sus lineamientos curriculares el algebra desde primaria. El objetivo de esta investigacion es analizar la ensenanza de las desigualdades e inecuaciones propuesta en los textos escolares de primaria distribuidos por el Ministerio de Educacion chileno el ano 2013. Se consideraron estos pues son la primera transposicion didactica del curriculo y una referencia para cientos de colegios publicos y subvencionados. Se realizo un analisis de contenido a textos escolares de matematica en los 1o, 2o, 4o y 5o cursos de Educacion Primaria, basandose en la Teoria Antropologica de lo Didactico (TAD) para definir un Marco de Referencia Epistemologico (MER) y conocer de que forma los textos respondian a la pregunta ?como comparar cantidades distintas y expresar el resultado de esa comparacion? En este trabajo presentamos el MER con el cual se establecieron las categorias a priori para el analisis de la ensenanza de las inecuaciones y mostramos los principales resultados obtenidos. Concluimos que estos se pueden convertir en una guia para realizar otras transposiciones didacticas que mejoren las propuestas de los textos escolares o la planificacion de la ensenanza.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.391
Teacher spread0.355 · 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 teacher head, not a consensus.

Study designObservational
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

Citations0
Published2017
Admission routes1
Has abstractyes

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