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Un análisis de contenido de libros de texto para la alfabetización emancipadora de adultos en el contexto educativo poscolonial. El caso de la Amazonia brasileña en los años 1980

2022· article· es· W2991464348 on OpenAlexaff
Fabrício Valentim da Silva, Marc–André Éthier, Stéphanie Demers

Bibliographic record

VenueComunicação & Educação · 2022
Typearticle
Languagees
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsUniversité du Québec en OutaouaisUniversité de Montréal
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsHumanitiesContext (archaeology)ArtGeography

Abstract

fetched live from OpenAlex

Esta investigación se centra en el estudio de la noción de emancipación en libros didácticos de inspiración freireana que sirvieron a la alfabetización de adultos en el contexto de la educación postcolonial en el norte de Brasil, entre los años 1960 y 1980. Este estudio se apoya en la metodología del análisis de contenido de libros de texto y en la literatura sobre la Educación a la Ciudadanía, pues el objetivo central fue construir y evaluar la solidez de un modelo conceptual de alfabetización emancipadora a través de tres pasos metodológicos para analizar los contenidos en libros de texto que son favorables para el desarrollo de dicho tipo de alfabetización. Se constató que en la muestra estudiada los tipos del ciudadano orientado a la justicia o de ciudadano participativo forman parte de los criterios primordiales que ayudan a definir los contenidos de libros de texto favorables a una alfabetización emancipadora.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0030.003
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.050
GPT teacher head0.465
Teacher spread0.416 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

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