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Record W2782299989 · doi:10.1093/heapro/dax099

Perspectives on restoring health shared by Cree women, Alberta, Canada

2017· article· en· W2782299989 on OpenAlexafffundabout
Dionne Gesink, Lana Whiskeyjack, Tim Guimond

Bibliographic record

VenueHealth Promotion International · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsSt. Michael's HospitalUniversity nuhelot'ine thaiyots'i nistameyimâkanak Blue QuillsPublic Health OntarioUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsConstructivist grounded theoryIndigenousPsychological interventionGrounded theoryMental healthPsychologyPopulationPerceptionSocial psychologyGender studiesSociologyMedicineQualitative researchEnvironmental healthPsychiatrySocial science

Abstract

fetched live from OpenAlex

The purpose of this study was to explore nehiyaw iskwêwak (Cree women's) perceptions and beliefs about how to restore balance to health. Fifteen indigenous women from Northern Alberta, Canada, participated in a 3-day cultural retreat on beauty and art in British Columbia, Canada, in May 2015. At the end of the retreat, these women were invited to participate in a talking circle and asked, 'What does restoring balance look like?' A constructivist grounded theory approach was used to explore individual and collective perspectives on restoring health. Nehiyaw iskwêwak provided a vision of health using metaphors from the natural environment. Starting points and core characteristics of health were grounded in relationship with self, others, place and the land, suggesting interventions grounded in land-based pedagogy and focused on restoring relationship and secure attachment might be effective for this population. Nehiyaw iskwêwak also said interventions should start at the individual level; as the individual restores balance mentally, emotionally, physically and spiritually, a long-term ripple effect can be initiated through the generations and community when these women in turn support the strengthening and nurturing of relations (e.g. parents, siblings, friends, children, grandchildren) for the next seven generations.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.062
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0390.016
Scholarly communication0.0060.001
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.035
GPT teacher head0.371
Teacher spread0.336 · 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

Citations13
Published2017
Admission routes3
Has abstractyes

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