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Record W2707010883

The representation of disability in children's literature

2013· dissertation· en· W2707010883 on OpenAlexaboutno aff

Bibliographic record

VenueNOVA (University of Newcastle Australia) · 2013
Typedissertation
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsRepresentation (politics)Computer sciencePsychologyPolitical sciencePolitics
DOInot available

Abstract

fetched live from OpenAlex

The representation of disability in children’s literature in an area that is severely under researched yet is something that is relevant to us all. Disability is an extremely fluid minority, with people moving between the able-bodied and the disabled throughout their lifetime, some on multiple occasions. It is therefore extremely important that the representation of disability in our literature, particularly in children’s literature, is one that is accurate and diverse. This thesis will be examining the way that disability is created within society based on our understanding of ‘the norm’ and the way we perceive the body. I will be discussing the binary relationship between the able-bodied and the disabled throughout this thesis and the need to break down socially constructed barriers and reclassify these two groups. I will be examining the way characters with a disability and ‘the body’ are treated within two classic children’s texts, J.M. Barrie’s Peter Pan and Victor Hugo’s The Hunchback of Notre Dame, before progressing on to a contemporary children’s text Finding Nemo. Additionally, I will be conducting a close analysis of two recent picture books, The Black Book of Colours by Menena Cottin, originally written in Spanish, and the Indigenous Australian text Two Mates by Melanie Prewett.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.090
GPT teacher head0.301
Teacher spread0.211 · 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
Published2013
Admission routes1
Has abstractyes

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