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Record W2026652065 · doi:10.3109/07434618.2012.677958

Traditional Versus Computerized Presentation and Response Methods on a Structured AAC Assessment Tool

2012· article· en· W2026652065 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.

Bibliographic record

VenueAugmentative and Alternative Communication · 2012
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsThames Valley Children's Centre
Fundersnot available
KeywordsAugmentative and alternative communicationPresentation (obstetrics)Crossover studyTest (biology)Significant differencePsychologyAudiologyMedicineMedical physicsAlternative medicineSurgery

Abstract

fetched live from OpenAlex

This pilot investigation compared participants' performance using traditional versus computerized presentation and response methods on a subtest of the Test of Aided-Symbol Performance™ (TASP). Participants were between 6 years and 21 years of age and were using some form of augmentative and alternative communication (AAC). Investigators used a within-subject crossover design, with participants randomly assigned to the administration condition they experienced first. Two months later, participants experienced the second condition. Results showed no significant difference in performance regardless of the administration condition, which supported the investigators' hypothesis. Accepting computerized presentation and response methods for the TASP would allow this measure to be used more broadly and expand the current methods of confidently evaluating options for AAC recommendations.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.794

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.272
GPT teacher head0.568
Teacher spread0.296 · 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