MétaCan
Menu
Back to cohort
Record W2131187119 · doi:10.18357/ijih81201212385

Intimate Stories: Aboriginal Women’s Lived Experiences of Health Services in Northern British Columbia and the Potential of Creative Arts to Raise Awareness About HPV, Cervical Cancer, and Screening

2013· article· en· W2131187119 on OpenAlexaffvenueabout
Virginia L. Russell, Sarah de Leeuw

Bibliographic record

VenueInternational Journal of Indigenous Health · 2013
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsEthnic groupCervical screeningFeelingParticipatory action researchThe artsCervical cancerGender studiesStorytellingQualitative researchPsychologyMedicineSociologyNarrativePolitical scienceCancerSocial psychologySocial science

Abstract

fetched live from OpenAlex

Guided by feminist and community-based participatory methodologies and by efforts to decolonize health research practices, and undertaken with qualitative research methods (interviews, open-ended questionnaires, and analysis of arts-based expressions like storytelling, journaling, and picture-making), this research identified challenges and barriers that (predominantly Aboriginal) women in northern British Columbia faced when trying to access sexual health care services related to HPV and cervical cancer screening. The research also examined the possible effectiveness of creative or arts-based strategies to promote cervical health and screening awareness among young and/or traditionally underserved or marginalized women. We review findings from data gathered over six months during multiple interactions with 22 women from a wide range of ethnic backgrounds. Results confirm that ethnicity, finances, and formal education are determinants in women’s awareness about, access to, and use of cervical screening services, and that experiences of gendered victimization, feelings of disempowerment, and life circumstances all influenced women’s comfort levels with, access to, and use of cervical cancer screening services.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.361
Teacher spread0.345 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueInternational Journal of Indigenous HealthSame topicCervical Cancer and HPV ResearchFrench-language works237,207