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Record W2470651252 · doi:10.18357/ijih111201615024

Mâmawoh Kamâtowin, "Coming together to help each other in wellness": Honouring Indigenous Nursing Knowledge

2016· article· en· W2470651252 on OpenAlexaffvenueabout
R. Lisa Bourque Bearskin, Brenda L. Cameron, Malcolm King, Cora Weber Pillwax

Bibliographic record

VenueInternational Journal of Indigenous Health · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsSimon Fraser UniversityUniversity of Alberta
Fundersnot available
KeywordsIndigenousTraditional knowledgeNursingHealth careCultural safetyRelevance (law)Identity (music)SociologyMedicinePolitical scienceEcologyLaw

Abstract

fetched live from OpenAlex

This paper is the result of coming to know and better understand Indigenous nursing experience in First Nations, Inuit and Métis communities. Using an Indigenous research approach, I (first author) drew from the collective experience of four Indigenous nurse scholars and attended to the question of how Indigenous knowledge manifests itself in the practices of Indigenous nurses and how it can better serve individuals, families, and communities. This research framework centered on Indigenous principles, processes, and practical values as expressed in Indigenous nursing practice. The results were woven from key understandings and meanings of Indigeneity as a way of being. Central to this study was that Indigenous knowledge has always been fundamental to the ways that these Indigenous nurses have undertaken nursing practice, regardless of the systemic and historical barriers they faced in providing healthcare for Indigenous people. The results of this research demonstrated how Indigenous nurses consistently drew on their inherited Indigenous knowledge to deliver nursing care to Indigenous people. Their identity as Indigenous persons was integral to their identities as Indigenous nurses. Of significance is the personal and particular description of how these Indigenous nurse scholars developed their nursing approaches in relevance to how health and healthcare delivery must be integrated into healthcare systems as a pathway to reducing health disparities.

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)0.004
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.022
GPT teacher head0.369
Teacher spread0.347 · 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 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

Citations25
Published2016
Admission routes3
Has abstractyes

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