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Record W2153551941 · doi:10.5014/ajot.2010.08128

Effects of a Kinesthetic Cursive Handwriting Intervention for Grade 4–6 Students

2010· article· en· W2153551941 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

VenueAmerican Journal of Occupational Therapy · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsAlberta Children's HospitalAlberta Health Services
Fundersnot available
KeywordsHandwritingLegibilityKinesthetic learningPsychologyIntervention (counseling)MedicineAudiologyPhysical therapyDevelopmental psychologyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

OBJECTIVE: We studied whether Grade 4-6 students who participated in a kinesthetic writing intervention improved in legibility, speed, and personal satisfaction with cursive handwriting. METHOD: Small groups of students with handwriting difficulties were seen weekly for 7 wk using a kinesthetic writing system. A repeated measures design was used to evaluate change in global legibility, individual letter formation, specific features of handwriting, and personal satisfaction. RESULTS: Analysis revealed (1) a significant increase in ratings of global legibility (p <.01; clinically significant improvements in 39% of students); (2) significant improvements in letter formation and legibility features of baseline, closure, and line quality (all p < .05); (3) increased handwriting speed (p < .05; not clinically significant); and (4) significant increase in measures with personal satisfaction of handwriting (p < .01). CONCLUSION. A kinesthetic handwriting intervention may be effective in improving the skills of students with handwriting challenges.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.032
GPT teacher head0.425
Teacher spread0.393 · 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