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Record W4281672116 · doi:10.1080/07434618.2022.2077831

Lessons for the AAC field: a tribute to Dr. David Beukelman

2022· article· en· W4281672116 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 · 2022
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTributeHonorField (mathematics)Augmentative and alternative communicationArt historyManagementArtVisual artsSociologyMedia studiesPsychologyComputer science

Abstract

fetched live from OpenAlex

On February 5, 2022, the field of augmentative and alternative communication (AAC) lost a giant when Dr. David "Dave" Beukelman passed away. As the readership of this journal is aware, Dave was one of the principal founders of the AAC field and devoted his career to providing a voice to those without one. Before AAC became a field, people who could not talk were invisible or seldom noticed, unless they were in the way. For more than 40 years, he was a catalyst for change in AAC clinical practice, research, dissemination, teaching, and public policy development. This tribute aims to honor Dave's lifelong mission of serving others by sharing some of his most timeless and valued lessons. Each lesson begins with one of Dave's most enduring quotes that is then followed by a brief synopsis of the lesson Dave hoped to convey.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.859
Threshold uncertainty score0.997

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 studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.002
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 head0.187
GPT teacher head0.528
Teacher spread0.342 · 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