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Record W2129617985 · doi:10.1093/fampra/19.3.278

Group interviews in primary care research: advancing the state of the art or ritualized research?

2002· review· en· W2129617985 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

VenueFamily Practice · 2002
Typereview
Languageen
FieldSocial Sciences
TopicFocus Groups and Qualitative Methods
Canadian institutionsQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsMedicinePrimary careState (computer science)Primary health careGroup (periodic table)Family medicineNursingMedical educationEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Focus groups have become an important data gathering technique in primary care research. OBJECTIVES: This study provides an integrated review of recent articles that used focus groups as a data collection method to gather information from family physicians. METHODS: Medline was searched for articles that used focus groups with family physicians in a North American setting during the 1990s. Articles that met this criteria were critically evaluated to determine who participated, the number of groups conducted, setting, length, inclusion and exclusion criteria, sampling technique and whether the groups were used as part of a larger study. RESULTS: The twenty articles discussed herein revealed tremendous variation in how focus group research is conducted and reported. CONCLUSIONS: Focus group research is a popular form of qualitative research in primary care research. Journals reporting qualitative research should require that certain basic information be present, thereby advancing the state of the art and permitting readers to better evaluate these articles.

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)0.092
metaresearch head score (Gemma)0.047
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.904
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0920.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.005
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.004
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 head0.649
GPT teacher head0.615
Teacher spread0.035 · 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