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Record W1577148153 · doi:10.3109/17483107.2015.1063017

Application of an access technology delivery protocol to two children with cerebral palsy

2015· article· en· W1577148153 on OpenAlexaff
Leslie Mumford, Tom Chau

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2015
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsUniversity of TorontoHolland Bloorview Kids Rehabilitation Hospital
Fundersnot available
KeywordsCerebral palsyProtocol (science)MedicineComputer sciencePhysical medicine and rehabilitationAlternative medicinePathology

Abstract

fetched live from OpenAlex

PURPOSE: This study further delineates the merits and limitations of the Access Technology Delivery Protocol (ATDP) through its application to two children with severe disabilities. METHOD: We conducted mixed methods case studies to demonstrate the ATDP with two children with no reliable means of access to an external device. Evaluations of response efficiency, satisfaction, goal attainment, technology use and participation were made after 8 and 16 weeks of training with custom access technologies. RESULTS: After 16 weeks, one child's switch offered improved response efficiency, high teacher satisfaction and increased participation. The other child's switch resulted in improved satisfaction and switch effectiveness but lower overall efficiency. The latter child was no longer using his switch by the end of the study. CONCLUSIONS: These contrasting findings indicate that changes to any contextual factors that may impact the user's switch performance should mandate a reassessment of the access pathway. Secondly, it is important to ensure that individuals who will be responsible for switch training be identified at the outset and engaged throughout the ATDP. Finally, the ATDP should continue to be tested with individuals with severe disabilities to build an evidence base for the delivery of response efficient access solutions. Implications for Rehabilitation A data-driven, comprehensive access technology delivery protocol for children with complex communication needs could help to mitigate technology abandonment. Successful adoption of an access technology requires personalized design, training of the technology user, the teaching staff, the caregivers and other communication partners, and integration with functional activities.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.041
GPT teacher head0.439
Teacher spread0.399 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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