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Record W3129747391 · doi:10.17561/ae.v22n2.5287

Lecturas literarias para una educación por la paz: itinerarios lectores en Educación Primaria

2020· article· es· W3129747391 on OpenAlex
Moisés Selfa i Sastre, Angélica Balça, Fernando Azevedo

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.

fundA Canadian funder is recorded on the work.
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

VenueAula de Encuentro · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicPeace and Human Rights Education
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaInternational Council for Canadian Studies
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La ausencia de paz es lo que propicia la guerra. Guerras hay de muchos tipos: desde las armadas hasta las que son originadas por no resolver conflictos personales por muy menudos que estos sean. Sea como fuere, la educación para la paz abarca muchos ámbitos que el niño y joven deben aprender a lo largo de su educación obligatoria. Muchas son las maneras de trabajar la educación para la paz y el respeto hacia el prójimo y sus opiniones. Entre estas maneras está la que ofrece la lectura de textos literarios de toda tipología, en los que el componente paz puede ser abordado desde diferentes ópticas. En nuestro trabajo, propondremos la lectura de textos literarios para Educación Primaria en los que es posible trabajar la didáctica de la paz desde una óptica universal. Así, aportaremos títulos de Literatura Infantil en los que sus protagonistas encarnan valores de paz como la tolerancia, la escucha, la empatía por el otro y el perdón. Se trata de textos publicados en el siglo XXI por autores nacionales y extranjeros.

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)0.001
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.325
Teacher spread0.304 · 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