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Record W4207008897 · doi:10.1177/08980101211072645

Holistic Health of Two Spirit People in Canada: A Call for Nursing Action

2022· review· en· W4207008897 on OpenAlexafffundabout
Melissa Dykhuizen, Kerry Marshall, Rachel Loewen Walker, Jack Saddleback

Bibliographic record

VenueJournal of Holistic Nursing · 2022
Typereview
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsUniversity of SaskatchewanSaskatchewan Polytechnic
FundersCanadian Institutes of Health Research
KeywordsCall to actionAction (physics)NursingHolistic nursingHolistic healthMedicinePsychologyAlternative medicineBusiness

Abstract

fetched live from OpenAlex

Purpose: In response to item 7.1 from the Missing and Murdered Indigenous Women and Girls Report (2019), calling on health service providers to recognize the importance in inclusive services with and for Indigenous peoples including Two Spirit, lesbian, bisexual, transgender, queer, questioning, intersex, and asexual (2SLGBTQQIA) peoples, we undertook a review of the literature to identify the gaps in understanding and to better situate the health and resiliencies of Two Spirit people in Canada. Method: We conducted a review of 13 articles related to the health and wellness of the Canadian Two Spirit community. Overall, there was a dearth of Two Spirit specific health-related information. Results: Identified themes were grounded in the holistic Medicine Wheel teachings. These themes directly parallel holistic nursing in their demonstration that health is complex, and that there are many facets that make up an individuals’ health. Conclusion: Assessing the impact that colonization has had on the intersections of gender, race, sexuality, class, culture, and spirituality, Two Spirit people face unique health concerns. Considering the intersections of identity and structural barriers in place for this community, more research led by and in collaboration with the Two Spirit community is needed.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.304
GPT teacher head0.519
Teacher spread0.215 · 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 designOther design
Domainnot available
GenreReview

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

Citations19
Published2022
Admission routes3
Has abstractyes

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