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Record W2109858524 · doi:10.1177/1049732308329851

Enhancing Generalizability: Moving From an Intimate to a Political Voice

2009· article· en· W2109858524 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 · 2009
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsGeneralizability theoryQualitative researchNarrativeExternal validityField (mathematics)Qualitative propertyPsychologyExistentialismPoliticsSociologySocial psychologyEpistemologyComputer scienceSocial scienceDevelopmental psychologyPolitical science

Abstract

fetched live from OpenAlex

Weak external validity of qualitative data has been a subject of debate outside and within the field of qualitative health research. Though some narratives have the power to reveal universal existential issues and inform theoretical development, each story remains unique and cannot be generalized. If the goal of qualitative researchers is to have narrative knowledge effect social change, we are faced with a pervasive problem. Our main objective with this article is methodological; that is, to argue and illustrate that a sequential-consensual qualitative design can yield data with adequate external validity to influence clinicians and public health programming. We seek to contribute to the debate on the generalizability of qualitative research in the health field and provide a methodological template for this type of qualitative design so researchers can apply it to future projects to transfer and translate popular knowledge in a way that can influence social change.

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)0.034
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0340.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.002

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 head0.589
GPT teacher head0.708
Teacher spread0.118 · 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