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Enablement through Provision of Assistive Technology: Case Reports of Two Children with Physical Disabilities

2013· article· en· W2323470020 on OpenAlexaff
Cherie Dalton, Gillian Hoyt-Hallett

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2013
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsStan Cassidy FoundationAlberta Children's Hospital
Fundersnot available
KeywordsOccupational therapyAssistive technologyPsychologyPhysical disabilityDevelopmental psychologyMedical educationMedicineComputer sciencePsychiatryHuman–computer interaction

Abstract

fetched live from OpenAlex

Children with physical disabilities may experience occupational deprivation due to a poor fit between their physical skills and the surrounding environment. Assistive technology may facilitate occupational engagement in children with physical disabilities and mitigate their experience of occupational deprivation. This practice analysis explored, through case reports, occupational engagement changes for two pre-teen girls with physical disabilities pre and post provision of technology. Once provided with appropriate assistive technology, each child participated in meaningful occupation. These powerful stories of occupational engagement could encourage occupational therapists to consider how occupational deprivation may be reduced through assistive technologies among children with physical disabilities.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.081
GPT teacher head0.445
Teacher spread0.364 · 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 designObservational
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

Citations9
Published2013
Admission routes1
Has abstractyes

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