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Record W2744490214

An exploration of the body pride experiences of young Aboriginal men and women in canada

2015· article· en· W2744490214 on OpenAlexaffabout
Angela M. Coppola, Ariel J. Dimler, Toni Letendre, Tara-Leigh McHugh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPrideMasculinityQualitative researchGender studiesSociologyPsychologySocial sciencePolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this qualitative description was to explore how Aboriginal youth in an urban center experience body pride. Body pride may be a predictor of health for Aboriginal youth and has been described as being connected to culture. Eight participants (four men, four women) that self-identified as Aboriginal and were between the ages of 20-25 years, participated in one-on-one interviews to describe their meanings and experiences of body pride. A qualitative content analysis highlighted five themes representing body pride: (a) the body as a changing "vessel," (b) body pride as a practice, (c) traditional activities that foster body pride, (d) challenging westernized body stereotypes and the marginalization of native peoples, and (e) body pride and male views of masculinity. This research contributes to the literature by highlighting Aboriginal youth's meanings of body pride and describing how to foster body pride while affirming Aboriginal cultures and identities.Acknowledgments: The project described in this paper was funded by the Social Sciences and Humanities Research Council (SSHRC, grant number 430-2012-0239) of Canada and a Research Award by the Office of the Vice President (Research) Special Fund, University of Alberta. The authors would like to thank the participants who shared their knowledge and contributed their time and effort to this project.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.040
GPT teacher head0.331
Teacher spread0.290 · 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

Citations1
Published2015
Admission routes2
Has abstractyes

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