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Record W3000759549 · doi:10.1044/2019_pers-19-00060

Conceptualizing Participation and Communication Disorder in Dementia Research

2020· article· en· W3000759549 on OpenAlexaff
K E Davies

Bibliographic record

VenuePerspectives of the ASHA Special Interest Groups · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDementiaContext (archaeology)PsychologyCitizenshipPopulationDevelopmental psychologyGerontologyMedicinePolitical scienceDiseasePolitics

Abstract

fetched live from OpenAlex

Purpose The overarching aim of this article is to explore the relating concepts of participation and communication in dementia care research and to propose future avenues of research within the field of communication disorders. Individuals with dementia comprise speech-language pathologists' largest clinical population. In the context of a growing international movement toward ending discrimination and increasing social participation of persons with dementia, understanding how communication disability and participation interact warrants attention in this field. Previous literature has yet to explore links between communication disability and social citizenship in dementia care. Method This is a viewpoint article. A search was performed on three literature databases, followed by a snowball technique, in order to identify relevant literature on social citizenship. Results Integrating a social citizenship–based understanding of participation in dementia would provide a framework for communication disorders researchers to examine systematic communicatively disabling conditions in communities and societies. Conclusions It is highlighted that a deeper understanding is needed of how stigmatization of both communication disability and dementia might interact to prevent the active participation of individuals with dementia.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.189
GPT teacher head0.381
Teacher spread0.192 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2020
Admission routes1
Has abstractyes

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