MétaCan
Menu
Back to cohort
Record W2028222754 · doi:10.1177/1525822x05285843

Communication Problems Between Researchers and Informants With Speech Difficulties: Methodological and Analytic Issues

2006· article· en· W2028222754 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

VenueField Methods · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsInterviewPsychologyFocus (optics)Qualitative researchSocial psychologyFocus groupData collectionApplied psychologySociologySocial science

Abstract

fetched live from OpenAlex

Using data collected in a study of how people living with Parkinson's disease assess the efficacy of the alternative and complementary therapies they use, the author addresses the impact on qualitative data collection and analysis of communication problems between researchers and informants who experience speech difficulty. There is little literature that deals with these issues. In what little does, the emphasis is most often on the “problem” informants who experience speech difficulty present for communication, rather than seeing communication problems as a product of interviewer/informant interaction in which the researcher also plays a role in hindering communication. In this article, the author argues that a focus on the linguistic inability of informants, however unwitting, constructs the person who experiences difficulty speaking as problematic and the researcher as the “expert” who solves the communication problem the informant presents.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.333

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 studies0.0000.000
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 head0.296
GPT teacher head0.466
Teacher spread0.170 · 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