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Record W2961923763 · doi:10.3390/educsci9030185

Writing and Deafness: State of the Evidence and Implications for Research and Practice

2019· article· en· W2961923763 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEducation Sciences · 2019
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsYork University
Fundersnot available
KeywordsLiteracyReading (process)PsychologyWritten languageWriting processDeaf educationSpoken languageContext (archaeology)LinguisticsPedagogyMathematics educationSign language

Abstract

fetched live from OpenAlex

Although reading and writing play equally important roles in the literacy development of deaf individuals, far more attention has been paid to reading than to writing in both research and practice. This is concerning as outcomes in writing have remained poor despite changes in communication philosophies (e.g., spoken and/or signed) and pedagogical approaches. Although there are indications of a positive shift as the context for deaf education has been transformed with advances in hearing technologies, challenges are ongoing. In order to better understand why deaf learners struggle to achieve age-appropriate outcomes in written language, the goal of this paper will be to take stock of the available research evidence in writing and deafness, and interpret it in light of both the Simple View of Writing (SVW), in which ideation or text generation is linked to oral language, and current models of the composing process. Based on this overview and analysis, implications and directions for future research and practice will be 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.464
GPT teacher head0.609
Teacher spread0.145 · 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