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Record W2121965738 · doi:10.1177/1049732311431444

Qualitative Research With Small Connected Communities

2012· article· en· W2121965738 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

VenueQualitative Health Research · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsConfidentialityQualitative researchEngineering ethicsMandateContext (archaeology)Face (sociological concept)SociologyDual (grammatical number)Public relationsResearch ethicsPolitical scienceSocial scienceLawEngineering

Abstract

fetched live from OpenAlex

Qualitative researchers have a dual mission: to generate knowledge through rigorous research and to uphold ethical standards and principles. Qualitative researchers often conduct studies with small connected communities in which relationships exist among community members. When engaging such communities, researchers might face ethical issues in upholding confidentiality standards while they work to achieve their dual mandate. Qualitative scholars have paid little attention to the ethical challenges that might arise in this context. Drawing on our experiences conducting studies with such communities, we expand the dialogue concerning qualitative research ethics by making explicit conceptual and practical tensions that emerge at various stages of the research process; articulating our respective reflective processes; and exploring issues associated with strategies for upholding confidentiality. We conclude with lessons learned to guide researchers who might face similar challenges.

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)0.506
metaresearch head score (Gemma)0.039
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.5060.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0100.020
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.006
Insufficient payload (model declined to judge)0.0010.001

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 head0.963
GPT teacher head0.805
Teacher spread0.158 · 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