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Record W2891591889 · doi:10.1080/07434618.2018.1513071

A qualitative metasynthesis of the meaning of speech-generating devices for people with complex communication needs

2018· review· en· W2891591889 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 · 2018
Typereview
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsResearch ManitobaUniversity of Manitoba
Fundersnot available
KeywordsMeaning (existential)Augmentative and alternative communicationLinguisticsQualitative researchPsychologyComputer scienceCommunicationSociologyPsychotherapist

Abstract

fetched live from OpenAlex

The aim of this metasynthesis review of published qualitative research was to investigate the lived experience and meaning ascribed to speech-generating devices (SGDs) by people with complex communication needs and their familiar communication partners. Bibliographic databases were searched up to June 2016, and selected articles were assessed for their relevance to the research aim. The metasynthesis included 21 original articles and resulted in the identification of six main themes, each of which was comprised of two or more sub-themes that related to the experience of using SGD: It's an Inefficient Voice, It's Not a Natural Voice, Making the Most of This Voice, It's My Voice, It's More Than a Voice, and Having a Voice: Being Heard. The findings depict how use of an SGD is a complex process of understanding the limitations of the device, acknowledging expectations of society, using strategies to optimize communication, being aware of what an SGD represents, and using the SGD to enable social participation and a sense of empowerment.

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)0.003
metaresearch head score (Gemma)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.609
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.353
GPT teacher head0.546
Teacher spread0.194 · 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