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Record W4402714837 · doi:10.5206/eei.v34i1.16938

A Ghanaian Approach to Disability Literature in Picture Books

2024· article· en· W4402714837 on OpenAlexaffvenue
Kimberly Maich, Christina Belcher, Tayebeh Sohrabi, Jacqueline Specht, Steve Sider, Magnus Mfoafo-M’Carthy, Wilson Andoh

Bibliographic record

VenueExceptionality Education International · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsWestern UniversityWilfrid Laurier UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsPsychologyPicture booksMathematics educationPedagogySociologyVisual artsArt

Abstract

fetched live from OpenAlex

In this study, we examined how Ghanaian picture books present disabilities. Using a content-analysis approach, the primary goal was to deduce how picture books serve to promote positive attitudes and inclusion of students with disabilities in schools in Ghana. Data included the text and visuals of seven picture books published in 2016 by Curriculum Research and Development Division of Ghana Education Services (now known as the National Council for Curriculum and Assessment), a branch of the Ghana Ministry of Education. The findings show that picture books provide an opportunity to address issues of stigma related to learning and physical disabilities, while explaining disability to non-disabled readers and disabled readers, who identify with stories about children who are like them. The process of reading stories to and with children can act as a cultural-awareness indicator. This study of children’s literature, and others like it, serve as an educational support for the inclusion of students with disabilities in inclusive classroom settings. Picture books can help to increase disability awareness in young people.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.385
Teacher spread0.361 · 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 designTheoretical or conceptual
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 routes2
Has abstractyes

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