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Record W4384341669 · doi:10.32799/ijih.v18i1.39518

Indigenous Elders' Conceptualization of Wellbeing: An Anishinaabe Worldview Perspective

2023· article· en· W4384341669 on OpenAlexvenueno aff
Miigis B. Gonzalez, Rachel I. Steinberg, Forrest Bruce, Jessica Ullrich, Melissa L. Walls

Bibliographic record

VenueInternational Journal of Indigenous Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersRuth Landes Memorial Research Fund
KeywordsIndigenousConceptualizationPerspective (graphical)Social connectednessSociologyGender studiesPsychologySocial psychologyEcologyLinguistics

Abstract

fetched live from OpenAlex

Language and cultural revitalization are vital in developing the self-healing capacity of Indigenous Peoples. This study emphasized the perspective of 1st language speaking Elders, our knowledge keepers and community leaders, to critically examine what it means to be well for one Indigenous Nation in the Midwest. Semi-structured interviews with Elders were administered in the Anishinaabe language by fluent second language speakers. The interviews were transcribed in Anishinaabe and translated into English with the guidance of the Elders. The Anishinaabe and English transcripts were used simultaneously in analysis. The conceptualization of wellbeing for these Elders was a complex and interrelated system grounded in spiritual connectedness and guided by Anishinaabe language and ways of life. The results broaden the perspectives available on Indigenous wellbeing and are important to consider as we study culture as healing and implement cultural-based health programs within Indigenous communities.

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 score0.576
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.029
GPT teacher head0.390
Teacher spread0.361 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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