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Record W4392377387 · doi:10.31428/10317/3959

La mentira social como como metodología docente en el aula de pedagogía terapéutica: innovación docente en la educación primaria

2024· article· es· W4392377387 on OpenAlexaff
Bernal Belmonte Carmen, Gacto Sánchez Marina

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldSocial Sciences
TopicEducational theories and practices
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsHumanitiesComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

[SPA] Nuestro estudio muestra, desde una perspectiva psicoeducativa, la utilización de una metodología innovadora para dotar a los alumnos diagnosticados de Trastorno Generalizado del Desarrollo de las herramientas necesarias para adaptarse al entorno escolar. Con ello se persigue conseguir la integración plena en el aula y un posterior desarrollo optimo de sus habilidades sociales. Dichas estrategias adaptativas están basadas en la adquisición de la mentira social de una forma práctica y funcional, ya que estos sujetos presentan una disfunción en esta área, ocasionando problemas en sus relaciones con otros sujetos, que no consiguen comprender el entorno que les rodea. Llegando a provocar niveles de ansiedad y estrés inadecuados a la edad que presentan. Este trabajo se lleva a cabo en el tercer ciclo de educación primaria utilizando medios visuales como los pictogramas, la visualización de historias sociales y los videos. Numerosos investigadores consideran que es la forma de conseguir que estas nociones queden integradas en el comportamiento natural de los sujetos. De este modo nuestros alumnos serán incluidos en la compleja sociedad actual.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.029
GPT teacher head0.443
Teacher spread0.414 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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