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Record W1993871387 · doi:10.1177/1043659605278937

Aboriginal Healing: Regaining Balance and Culture

2006· article· en· W1993871387 on OpenAlexaff
Linda M. Hunter, Jo Logan, Jean‐Guy A. Goulet, Sylvia Barton

Bibliographic record

VenueJournal of Transcultural Nursing · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Northern British ColumbiaSaint Paul UniversityUniversity of OttawaConference Board of Canada
Fundersnot available
KeywordsHolismHolistic healthEthnographySociologyTheme (computing)Balance (ability)Health careParticipant observationOrganizational cultureNursingPsychologyMedicinePublic relationsSocial scienceAlternative medicineAnthropologyPolitical scienceEpistemology

Abstract

fetched live from OpenAlex

This ethnographic study explored the question, How do urban-based First Nations peoples use healing traditions to address their health issues? The objectives were to examine how Aboriginal traditions addressed health issues and explore the link between such traditions and holism in nursing practice. Data collection consisted of individual interviews, participant observations, and field notes. Three major categories that emerged from the data analysis were: following a cultural path, gaining balance, and sharing in the circle of life. The global theme of healing holistically included following a cultural path by regaining culture through the use of healing traditions; gaining balance in the four realms of spiritual, emotional, mental, and physical health; and sharing in the circle of life by cultural interactions between Aboriginal peoples and non-Aboriginal health professionals. Implications for practice include incorporating the concepts of balance, holism, and cultural healing into the health care services for diverse Aboriginal peoples.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.974
Threshold uncertainty score0.999

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 studies0.0030.000
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 head0.011
GPT teacher head0.332
Teacher spread0.321 · 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.

Study designNot applicable
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

Citations107
Published2006
Admission routes1
Has abstractyes

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