MétaCan
Menu
Back to cohort
Record W2929160194

Executive functioning effects the development of writing skills

2019· article· en· W2929160194 on OpenAlexaff
Alannah Wallace, Maureen Hoskyn

Bibliographic record

Venue2019 Conference of the Canadian Society for the Study of Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsWorking memoryPsychologyCognitive psychologyExecutive functionsBaddeley's model of working memoryHandwritingCognitionDevelopmental psychologyLinguisticsShort-term memoryNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

This study examines the relations between development of the central executive and writing skills in young children. Furthering understandings about the development of an executive system of cognitive resources in young children is important when designing early interventions, yet little is understood about the organization of the system as it emerges in children. Baddley (1999) proposes a model in which the central executive, consisting of the phonological loop and visuospatial sketchpad, effects text generation which in turn effects both transcription and translation. To test this, children (n=178) were administered measures of transcription (handwriting), translation (propositional density), visual working memory, and verbal working memory 4 times between the ages of 4 and 7 years. Analysis using multilevel modelling showed that growth rates in visual and verbal working memory predicted propositional density. However, only growth rates in visual working memory predicted handwriting performance. The study concludes that the executive system that is differentiated over the course of the first 3 years in school influences translation and transcription. This research shows that writing is not domain specific (involving only language). Transferring ideas into written form uses visual executive processes while more complex ideas in writing requires a suite of executive functions.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.967

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 studies0.0010.000
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 head0.022
GPT teacher head0.298
Teacher spread0.277 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venue2019 Conference of the Canadian Society for the Study of EducationSame topicWriting and Handwriting EducationFrench-language works237,207