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Faithful Five

2013· article· en· W165097414 on OpenAlexaff
Molly McFatrich, Andrew Weinhold, Linda Riggins, Kate Blackman, Erin Lebow-Skelley, Latasha N. Little, Faye Terry, Briana Woods‐Jaeger

Bibliographic record

VenueFamily & Community Health · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsTerry Fox Research Institute
Fundersnot available
KeywordsPhotovoiceFaithParticipatory action researchCommunity-based participatory researchChildhood obesityQualitative researchCitizen journalismSociologyAfrican americanPublic healthGender studiesPsychologyPolitical scienceMedicineAnthropologyVisual artsNursingObesityArt

Abstract

fetched live from OpenAlex

This study used a community-based participatory research tool called photovoice to understand African American faith leaders' perspectives on the factors that influence childhood obesity in their communities. Five African American women, who self-identified as faith leaders, took photographs and discussed photographs and emergent themes in 5 meetings. Qualitative analysis involved identifying recurring themes from the transcriptions of the photograph discussions, as well as the photographs themselves. The results suggest that the cycle of stress related to family responsibilities influences childhood obesity in this community. The implications for further research and public health practice are discussed.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.003
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.003

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 head0.718
GPT teacher head0.669
Teacher spread0.049 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2013
Admission routes1
Has abstractyes

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