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Record W2897828908 · doi:10.1093/deafed/eny027

Evidence of Theory of Mind in the Written Language of Deaf Children

2018· article· en· W2897828908 on OpenAlexaff
Helen Chilton, Connie Mayer, Wendy McCracken

Bibliographic record

VenueThe Journal of Deaf Studies and Deaf Education · 2018
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsYork University
Fundersnot available
KeywordsPsychologyTheory of mindReading (process)Perspective (graphical)LiteracyNarrativeEarly literacyFocus (optics)Developmental psychologyLanguage developmentLinguisticsCognitive psychologyPedagogyCognition

Abstract

fetched live from OpenAlex

The link between Theory of Mind (ToM) and literacy is increasingly being recognized in the literature. However, the focus to date has concentrated on the connections between reading and ToM, with an emphasis on the ways in which ToM is implicated in making inferences from text and suggestions that engaging in reading fiction can support the development of ToM. The exploratory study presented in this paper is unique in its approach as it widens the focus to consider the relationship between ToM and writing. Using a developmental framework based on the work of Westby and Robinson (Westby, C. & Robinson L. (2014). A developmental perspective for promoting theory of mind. Topics in Language Disorders 34 (4), 362-382 doi: 10.1097/TLD.0000000000000035), the written narratives of 43 deaf children (aged 7.2 years to 11.11 years) were examined for evidence of ToM. Evidence of ToM was found in the writing of 86% of the participants (n = 37) with children demonstrating abilities across the spectrum of development. Implications for both research and pedagogical practice are discussed.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.139

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.073
GPT teacher head0.413
Teacher spread0.341 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2018
Admission routes1
Has abstractyes

Explore more

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