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Record W2558281428 · doi:10.5864/d2016-024

Can focus groups be a tool for change? Introducing health equity to environmental public health practice

2016· article· en· W2558281428 on OpenAlex
Karen Rideout, Dianne Oickle, Connie Clement

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueEnvironmental Health Review · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsBC Centre for Disease Control
Fundersnot available
KeywordsFocus groupPublic healthPublic relationsQualitative researchEquity (law)PsychologyFocus (optics)Knowledge managementPolitical scienceMedicineSociologyNursingComputer scienceSocial science

Abstract

fetched live from OpenAlex

This qualitative investigation was undertaken to explore the value of focus group participation to introduce new concepts into practice within public health. Seven public health inspectors who participated in an earlier focus group study responded to follow-up questions designed to assess whether their participation in the original focus group sessions lead to changes in their thinking or practice. Findings suggest that focus group participation can provide an opportunity to start conversations about new concepts, highlight ways to put thoughts into action, validate how current practice supports broader goals, and identify gaps and next steps. Although an important tool for change, systematic change requires additional support at the organizational level to achieve full implementation. Further research into the use of focus groups as a tool for reflective practice is recommended.

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)0.025
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.836
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.615
GPT teacher head0.640
Teacher spread0.025 · 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