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Record W1993405736 · doi:10.1177/000841740006700313

Handwriting: Current Trends in Occupational Therapy Practice

2000· article· en· W1993405736 on OpenAlexaffvenueabout
Katya Feder, Annette Majnemer, Anne Synnes

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsMcGill University
Fundersnot available
KeywordsHandwritingOccupational therapyPsychosocialPopulationPerceptionPsychologyMedicineTreatment modalityMovement assessmentMotor skillPhysical therapyClinical psychologyDevelopmental psychologyEnvironmental healthPsychiatryGeography

Abstract

fetched live from OpenAlex

The objective of this survey was to describe assessment and treatment approaches commonly used by occupational therapists for children exhibiting handwriting and related fine motor difficulties. Secondarily, the application of weights as a treatment modality was also explored. Fifty experienced paediatric occupational therapists from Ontario (46%), Quebec (22%) and six other Canadian provinces, were surveyed by telephone. The majority of therapists indicated that they evaluated gross/fine motor and perceptual skills, motor planning, quality of movement and sensory functioning for this population, while psychosocial and environmental factors were often not formally evaluated. Evaluations most commonly utilized included the Beery, Bruininks-Oseretsky and Gardner Tests. Standardized handwriting assessments were rarely employed. All used an eclectic treatment approach with sensorimotor most frequently selected (90%). Work setting and years of experience did not influence the treatment approach favoured.

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)0.002
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.265
Threshold uncertainty score0.526

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.194
GPT teacher head0.462
Teacher spread0.268 · 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

Citations186
Published2000
Admission routes3
Has abstractyes

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