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Record W6887686212 · doi:10.17605/osf.io/ekmv9

Protocol of a Scoping Review: The Health Benefits of Cultural Practices involving Human Interconnection within Nature for Indigenous Peoples in the United States and Canada

2022· other· en· W6887686212 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Science Framework · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGrey literatureTraditional knowledgeProtocol (science)Inclusion (mineral)Community engagementHealth careEmpirical researchHuman rights

Abstract

fetched live from OpenAlex

In the United States and Canada, Indigenous peoples (IP) are disproportionately impacted by health disparities and inequities exacerbated by historical and ongoing colonial oppression. Community-led and empirical evidence reveals that IP engagement with cultural practices that involve human interconnectedness within Nature (CP HIWN; e.g., hunting, gathering, ceremony) can have positive impacts on human health. The purpose of this scoping review is to summarize what is known about the health benefits of IP engagement with CP HIWN. This scoping review will synthesize the literature on health benefits of CP HIWN using an Indigenous centered, community-based approach. This examination will provide knowledge for a broad audience of Indigenous and non-Indigenous healthcare providers, researchers, clinicians and community members. We advance this scoping review using Arksey and O’Malley’s framework, the guidelines set forth by the Joanna Briggs Institute, and approach it with Indigenous theoretical frameworks/methods as an intentional process of decolonizing knowing. We will search electronic databases and reference lists for empirical research and grey literature. PRISMA-ScR is used for reporting. Our search includes English language literature and is open to all sources, including but not limited to reviews, commentaries, study design, meta-analyses, dissertations, books and tribal reports. Three independent reviewers will screen sources for inclusion and extract data using a tool developed by the research team. We will use a community-based approach to seek Indigenous community leaders (including elders, knowledge keepers, and others engaged in related work) subject matter expertise to confirm the major findings of the review and to help identify gaps in the research base. The protocol process is Indigenous and student-led, and the scoping review includes majority Indigenous authors.

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)0.008
metaresearch head score (Gemma)0.006
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.475
Threshold uncertainty score0.796

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0030.001
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 head0.053
GPT teacher head0.425
Teacher spread0.372 · 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
GenreProtocol

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

Citations0
Published2022
Admission routes1
Has abstractyes

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