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Record W2235255046 · doi:10.64546/jaasep.64

Understanding Dyslographia (Chinese Dysgraphia) and What is Known About the Disorder

2008· article· en· W2235255046 on OpenAlexaff
Yi Ya Tin, Noel Kok Hwee Chia, Meng Ee Wong

Bibliographic record

VenueJournal of the American Academy of Special Education Professionals · 2008
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsDysgraphiaPsychologyCognitive psychologyLinguisticsSocial psychologyPhilosophyDyslexia

Abstract

fetched live from OpenAlex

Dysgraphia is a disorder in written expression that can be categorized into either developmental dysgraphia or acquired dysgraphia. There are three subtypes of developmental dysgraphia: dyslexic dysgraphia that bears similarities to dyslexia; dysgraphia due to motor clumsiness; and dysgraphia due to defect in understanding of space. The characteristics exhibited by these subtypes may apply to language systems that are alphabetical or phoneme-based in nature. For languages that are logographically based such as Chinese or Japanese, dysgraphia exists in another subtype known as dyslogographia. Though literature on dysgraphia is very limited as compared to studies done on dyslexia, literature on dyslogographia is even more limited. This paper will attempt to discuss about dyslogographia while drawing parallels if possible to the more known subtypes of dysgraphia and to some extent, also dyslexia.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.002
Scholarly communication0.0020.005
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.077
GPT teacher head0.392
Teacher spread0.315 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Academy of Special Education ProfessionalsSame topicAutism Spectrum Disorder ResearchFrench-language works237,207