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Record W2970291684 · doi:10.1177/1558689819871814

Applying Action Research in a Mixed Methods Positive Body Image Program Assessment With Older Adults and People With Physical Disability and Chronic Illness

2019· article· en· W2970291684 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

VenueJournal of Mixed Methods Research · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsBrock University
Fundersnot available
KeywordsMultimethodologyPsychologyIntervention (counseling)Action (physics)Action researchSample (material)Physical disabilityPhysical therapyClinical psychologyApplied psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Action research is a methodology seldom used within both body image and mixed methods research. The current study is an application of action research to a 6-week mixed methods assessment of a positive body image program. Eighteen participants (14 women, 4 men) completed questionnaires pre–post intervention and at a 6-week follow-up. Sixteen participants completed individual interviews. Using mixed methods, participants’ positive body image was found to significantly improve and be sustained 6-weeks later. A multidimensional mixed methods research finding was an increase in participants’ positive body image and decrease in negative body image. This article highlights the versatility of mixed methods as it integrated well with an action research approach and fueled the interpretation of findings in a heterogeneous sample.

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)0.018
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.948
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.094
GPT teacher head0.537
Teacher spread0.443 · 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