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Record W2171336488 · doi:10.18357/ijih42200912325

Body-related experiences of two young rural Aboriginal women

2009· article· en· W2171336488 on OpenAlexaffvenueabout
Tara-Leigh Fleming, Kent C. Kowalski

Bibliographic record

VenueInternational Journal of Indigenous Health · 2009
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsGender studiesConfidentialitySociologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

There has been a gradual increase in health research that explores the body-related experiences of young Aboriginal women living in urban and reserve settings. However, the voices of rural Canadian Aboriginal women not living on reserves, appear to be absent from this literature. The purpose of this study, therefore, is to better understand the body-related experiences of young Aboriginal women living in rural Canadian communities. Case study was utilized as the strategy of inquiry in which each of two young women (both 15 years of age) represented a case. One-on-one interviews were used to explore the young women’s experiences. Four themes emerged: (1) fitting in, (2) rural uniqueness, (3) role models, and (4) body talk. The primary contribution of this study is that it sheds light on the unique body-related experiences of two young women, each living in a rural community where she is the only teenaged Aboriginal woman. Despite some similarities, the young women related very different stories of their experiences in their respective communities. This research also highlights some of the ethical challenges of ensuring that the stories of the young women are adequately represented, while their confidentiality is respected.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.008
GPT teacher head0.373
Teacher spread0.365 · 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 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

Citations5
Published2009
Admission routes3
Has abstractyes

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