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Record W1978343785 · doi:10.1080/02687030802514946

The complexities of speaking for another

2009· article· en· W1978343785 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

VenueAphasiology · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyCognitive psychology

Abstract

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Background: While it is recognised that conversation partners of people with aphasia often speak for them, investigation of “speaking‐for” incidents has shown that these comprise a wide range of behaviours, leading Simmons‐Mackie, Kingston, and Schulz (2004 Simmons‐Mackie, N., Kingston, D. and Schultz, M. 2004. “Speaking for another”: The management of participant frames in aphasia.. American Journal of Speech‐Language Pathology, 13: 114–127. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) to identify a “fine interactive line” (p. 123) between “speaking for” and “speaking instead of”. To date, however, there has been little exploration of these behaviours in the context of everyday family conversation; furthermore, little is known about how family members themselves interpret the actions of speaking for their relative with aphasia. Aims: The goal of this paper is to describe how the husband of a woman with progressive nonfluent aphasia (PNFA) and their adult children experienced and interpreted his ways of speaking for her. Methods & Procedures: Findings are drawn from a qualitative case study exploring a family's experiences of progressive aphasia through analyses of their talk. Methodology included a thematic analysis of in‐depth interviews conducted with each of six family members and conversation analysis of their everyday conversations together, selected and audio recorded by the participants themselves over a 3‐month period. Outcomes & Results: The husband's “speaking‐for” behaviours, which emerged as a significant theme in the interview data from him and all four adult children, were linked to long‐standing patterns of interaction but were described as problematic in the context of his wife's aphasia. Conversation analysis revealed that he used three patterns of “speaking‐for” behaviours, each with different interactional strategies and consequences. Conclusions: Discussion highlights the nuances, challenges, and complexities of “speaking for” behaviours when considered in the historical context of relationship.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.839
Threshold uncertainty score0.344

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 science0.0000.000
Research integrity0.0000.000
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 head0.096
GPT teacher head0.327
Teacher spread0.230 · 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