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Record W2600511414 · doi:10.1177/1471301217701274

Safe and Inclusive Research Practices for Qualitative Research Involving People with Dementia: A Review of Key Issues and Strategies

2017· review· en· W2600511414 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

VenueDementia · 2017
Typereview
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDementiaKey (lock)Qualitative researchPsychologyMedicineSociologyComputer scienceDiseaseSocial scienceComputer security

Abstract

fetched live from OpenAlex

AIM: Developing strategies to ensure the safe participation of people with dementia in research is critical to support their wider inclusion in research and to advance knowledge in the areas of dementia policy and practice. OBJECTIVES: This literature review synthesizes and critically appraises different approaches to promote the safe participation of people with dementia in qualitative research. METHODS: Two databases were searched for articles that discuss the methodological or ethical aspects of qualitative research involving people with dementia. We did not focus on informed consent or ethical review processes as these have been reviewed elsewhere. FINDINGS: Key issues that impact participant safety include: language, gatekeepers, the research relationship, communication, dealing with distress, knowledge dissemination, and researcher skills. CONCLUSION: By synthesizing different approaches to safety and highlighting areas of debate, we hope to advance discussion and to contribute to the development of inclusive research methods.

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)0.081
metaresearch head score (Gemma)0.103
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.689
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0810.103
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.004
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 head0.876
GPT teacher head0.784
Teacher spread0.093 · 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