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‘We've fallen into the cracks’: Aboriginal women's experiences with breast cancer through photovoice

2009· article· en· W3207671314 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNursing Inquiry · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPhotovoiceBreast cancerGender studiesContext (archaeology)Qualitative researchOppressionHealth careHealth equitySociologyMedicineNursingCancerPublic healthGeographyAnthropologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Despite some recognition that Aboriginal women who have experienced breast cancer may have unique health needs, little research has documented the experiences of Aboriginal women from their perspective. Our main objective was to explore and to begin to make visible Aboriginal women's experiences with breast cancer using the qualitative research technique, photovoice. The research was based in Saskatchewan, Canada and participants were Aboriginal women who had completed breast cancer treatment. Although Aboriginal women cannot be viewed as a homogeneous group, participants indicated two areas of priority for health‐care: (i) Aboriginal identity and traditional beliefs, although expressed in diverse ways, are an important dimension of breast cancer experiences and have relevance for health‐care; and (ii) there is a need for multidimensional support which addresses larger issues of racism, power and socioeconomic inequality. We draw upon a critical and feminist conception of visuality to interrogate and disrupt the dominant visual terrain (both real and metaphorical) where Aboriginal women are either invisible or visible in disempowering ways. Aboriginal women who have experienced breast cancer must be made visible within health‐care in a way that recognizes their experiences situated within the structural context of marginalization through colonial oppression.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.293
GPT teacher head0.601
Teacher spread0.308 · 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