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Record W1992634629 · doi:10.1177/000841740907600304

An Analysis of Constraints on Access to Augmentative Communication in Cerebral Palsy

2009· article· en· W1992634629 on OpenAlexvenueno aff
F. Aileen Costigan, Karl M. Newell

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2009
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsnot available
Fundersnot available
KeywordsCerebral palsyAugmentativeTask (project management)ConfluenceComputer sciencePhysical medicine and rehabilitationAugmentative and alternative communicationSelection (genetic algorithm)Key (lock)Human–computer interactionPsychologyCognitive psychologyArtificial intelligenceMedicineEngineeringComputer security

Abstract

fetched live from OpenAlex

BACKGROUND: Effective use of augmentative communication requires an individual to manage its technical aspects. Motor-skill limitations in cerebral palsy (i.e., individual constraints) can influence this ability as can demands imposed by communication devices (i.e., task constraints). PURPOSE: This paper emphasizes the importance of analyzing the confluence of task and individual constraints in promoting a functional fit between the individual with cerebral palsy and the communication device. We demonstrate the utility of current principles of motor control in analyzing this confluence. KEY ISSUES: Task constraints imposed by target selection and individual constraints imposed by cerebral palsy are introduced prior to an analysis of their confluence using the degrees of freedom of the potential planes of limb motion. IMPLICATIONS: Occupational therapists should look beyond motor-skill assessment to the confluence of task and individual constraints when customizing target selection in augmentative communication.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.288
GPT teacher head0.553
Teacher spread0.266 · 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.

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
Published2009
Admission routes1
Has abstractyes

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