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Record W2119238504 · doi:10.1177/1049732306286846

Body-Related Emotional Experiences of Young Aboriginal Women

2006· article· en· W2119238504 on OpenAlexaffabout
Tara-Leigh Fleming, Kent C. Kowalski, M. Louise Humbert, Kristina R. Fagan, Martin J. Cannon, Tammy M. Girolami

Bibliographic record

VenueQualitative Health Research · 2006
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBeautyFocus groupPsychologyQualitative researchDevelopmental psychologyEmotional healthGender studiesMental healthSociologyPsychiatry

Abstract

fetched live from OpenAlex

Concerns related to the body are associated with health-compromising behaviors, and although research has indicated that young Aboriginal women are dissatisfied with their bodies, their voices have typically been absent from the literature. The purpose of this case study was to provide insight into the body-related emotional experiences of young, Canadian, urban Aboriginal women. Four young women participated; 3 identified themselves as Aboriginal (one 14-year-old, two 18-year-olds) and 1 as non-Aboriginal (18 years old). Multiple methods (focus group, one-on-one interviews, and artwork) provided the authors the opportunity to listen to the young women's stories. Five themes emerged: (a) conflicting cultures, (b) need to belong, (c) the beauty of difference, (d) journey to acceptance of the body, and (e) the body affects everything. This research highlights the complexity of young Aboriginal women's body-related emotional experiences and indicates that their experiences might not be as negative as previous research has led us to believe.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.205
Threshold uncertainty score0.407

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0020.000
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.203
GPT teacher head0.576
Teacher spread0.373 · 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 source (direct Gemma or distilled Codex), 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

Citations35
Published2006
Admission routes2
Has abstractyes

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