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Record W4386572549 · doi:10.32799/ijih.v18i2.39572

My Mother Wild

2023· article· en· W4386572549 on OpenAlexvenueno aff
Mikaela Gabriel

Bibliographic record

VenueInternational Journal of Indigenous Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousStorytellingTraditional knowledgeNarrativeIndigenous educationIndigenous cultureSociologyColonialismMental healthEthnographyGender studiesGeographyEcologyPsychologyAnthropologyArchaeologyBiology

Abstract

fetched live from OpenAlex

Indigenous land relationships are central for Indigenous wellness, ceremonies, language, and cultural resurgence; as original caretakers of Turtle Island, the relationship with land is a profoundly spiritual one. This same relationship has also been the focus of colonial forces’ division, separation, and control, resulting in dislocation from traditional territories and ensuing impacts across all domains of Indigenous health and wellbeing. This article reviews existing literature that centralizes Indigenous land relationships, and contributes the reflections and stories of Indigenous youth that participated in this author’s dissertation study. Employing a narrative inquiry methodology with oral storytelling traditions, nine Indigenous youth and four traditional knowledge keepers were interviewed and shared their experiences on urban migrations, employment, education, and mental health. Their connections and reflections on land are included here, with key reflections, proposed connections to existing literature, and in-depth exploration that centers and promotes Indigenous land-based healing and education efforts.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.389
Teacher spread0.360 · 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 designNot applicable
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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