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Record W2099017354 · doi:10.1177/1049732307306926

Methodological Issues in Interviews Involving People With Communication Impairments After Acquired Brain Damage

2007· article· en· W2099017354 on OpenAlex
Eva Carlsson, Barbara Paterson, Shannon D. Scott, Margareta Ehnfors, Anna Ehrenberg

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

VenueQualitative Health Research · 2007
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversity of AlbertaUniversity of New Brunswick
Fundersnot available
KeywordsQualitative researchPsychologyAffect (linguistics)Informed consentPopulationMedicineAlternative medicineSociologyCommunication

Abstract

fetched live from OpenAlex

Qualitative research has made a significant contribution to the body of knowledge related to how people experience living with various chronic diseases and disabilities; however, the voices of certain vulnerable populations, particularly those with impairments that affect their ability to communicate, are commonly absent. In recent years, a few researchers have attempted to explore the most effective ways to ensure that the voices of people with communication impairments from acquired brain damages can be captured in qualitative research interviews; yet several methodological issues related to including this population in qualitative research remained unexamined. In this article, the authors draw on insights derived from their research on the experiences of adult survivors of stroke and traumatic brain injury to describe methodological issues related to sampling, informed consent, and fatigue in participant and researcher while also making some recommendations for conducting qualitative interviews with these populations.

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)0.043
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0430.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.539
GPT teacher head0.639
Teacher spread0.100 · 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