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Record W4388571048 · doi:10.33137/tijih.v1i3.38501

Living and Dying mno bemaadiziiwin: Wearing Our Teachings in Contemporary Times

2023· article· en· W4388571048 on OpenAlexaff
Barbara Moktthewenkwe Wall

Bibliographic record

VenueTurtle Island Journal of Indigenous Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsTrent University
Fundersnot available
KeywordsIndigenousEnvironmental ethicsAgency (philosophy)OperationalizationIsolation (microbiology)PandemicPsychological resilienceSociologyGender studiesCoronavirus disease 2019 (COVID-19)AestheticsSocial psychologyPsychologyMedicineSocial scienceDisease

Abstract

fetched live from OpenAlex

Wearing, or operationalizing, cultural teachings during this time of a global pandemic is crucial to Indigenous spiritual health and overall well-being. The Big Sickness has impacted collective spiritual practices and gatherings. It has prevented us from being present with family and community members in times of illness, disrupting our caretaking responsibilities, and our assistance with and witnessing of death. Yet, public health restrictions have also provided opportunity for biskaabiiyang: physical isolation has catalyzed a pause in our collective and personal day-to-day lives, and has provided opportunity for us to turn inward, reflect, and to return to ourselves and ways of knowing. This article shares foundational teachings of the Anishinaabe People; teachings that guide us in the living and dying of mno bemaadiziiwin, the Good Life. These teachings situate the life and death journey of Anishinaabe persons within the Anishinaabe cosmos, and articulate our practices of relationality, responsibilities, and ways of knowing that are essential to this journey. Biskaabiiyang, returning to ourselves, with agency and wearing our teachings can support individual resilience and survival.

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)0.007
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.032
GPT teacher head0.339
Teacher spread0.306 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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