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Record W2916800008 · doi:10.1177/0844562119832395

Exploring Social Support, Sport Participation and Rural Women’s Health using Photovoice: The Manitoba Experience

2019· article· en· W2916800008 on OpenAlexafffundvenueabout
Lynn Scruby, Hazel A. Rona, Beverly Leipert, Heather Mair, Wanda M. Snow

Bibliographic record

VenueCanadian Journal of Nursing Research · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of WaterlooWestern UniversityUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPhotovoiceThematic analysisContext (archaeology)CurlingPrideFocus groupQualitative researchPsychologyGerontologyMedicineSociologyGeographySocial sciencePolitical science

Abstract

fetched live from OpenAlex

Background Health and well-being are multifaceted, with several lifestyle factors contributing (positively or negatively) to one’s health status. Purpose The purpose of this qualitative study was to explore the health of rural women in the context of the sport of curling and curling clubs. As part of a national study, this study highlights findings from 17 female participants from two rural communities in Manitoba. Methods Qualitative data were collected using photovoice. Participants were asked to photograph images they felt represented health in the context of the curling rink. Researchers then conducted focus groups in which each participant was asked to choose and discuss two photographs. Results The participants photographed a total of 333 images, which were analyzed using thematic analysis. A total of six main themes emerged from the photographs and transcripts: facilitating social connections, enhancing physical health, promoting mental health, pride in the sport of curling, contributing to personal growth, and promoting gender equality. Conclusion Similar to the national study results, the findings in this study indicate that nurses, particularly community health nurses, as well as policy-makers, local communities, and others need to recognize the value of curling clubs to the health and well-being of rural populations.

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 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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.866
GPT teacher head0.678
Teacher spread0.188 · 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 teacher head, not a consensus.

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

Citations2
Published2019
Admission routes4
Has abstractyes

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