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Record W2216200115 · doi:10.1080/19411243.2015.1040942

Practice Patterns of School-based Occupational Therapists Targeting Handwriting: A Knowledge-to-Practice Gap

2015· article· en· W2216200115 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Occupational Therapy Schools & Early Intervention · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsUniversity of OttawaQueen's University
Fundersnot available
KeywordsHandwritingOccupational therapyIntervention (counseling)ReferralMedical educationPsychologyClinical PracticeBest practiceMedicineNursingComputer scienceArtificial intelligencePsychiatry

Abstract

fetched live from OpenAlex

Poor handwriting is a common reason for referral to school-based occupational therapy. A survey was used to explore the extent to which current practice patterns in Ontario, Canada, align with evidence on effective intervention for handwriting. Knowledge-to-practice gaps were identified related to focus on performance components versus occupational performance. Therapists identified three learning needs: integrating technology, promoting handwriting practice, and addressing complex areas of difficulty in learning, attention, and language. Therapist and system barriers to best practice were identified. Support for challenging system barriers and access to relevant continuing education opportunities is indicated.

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)0.009
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.160
GPT teacher head0.464
Teacher spread0.304 · 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