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Record W4404946800 · doi:10.3138/gsi-2023-0027

ANI-ANISHINAABEWAADIZING (Becoming Indigenous): Healing from Sustained Cultural Genocide and Linguicide through Ojibwe Language World View

2024· article· en· W4404946800 on OpenAlexvenueno aff
Annie Rappeport, Gechitwaabandang Alex Decoteau, Daniel R. Conn

Bibliographic record

VenueGenocide Studies International · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGenocideAnthropologyLinguisticsSociologyHistoryGeographyPolitical scienceBiologyPhilosophyEcology

Abstract

fetched live from OpenAlex

Intergenerational transmission of culture and language across Native American communities in the United States has been obstructed by more than 520 years of sustained cultural genocide and attempts of linguicide which, in turn, inflicted intergenerational trauma that still impacts Native American communities today. This article intentionally bridges understandings of language revitalization efforts in a North American Ojibwe community employing Indigenous research methods. The community efforts are reflected upon by an Ojibwe Elder and longtime language teacher, which is then responded to by two colleagues and friends of the Elder who come from a Western perspective. This “two-eyed” approach illustrates the importance of Indigenization in education and communities as a process of truth, reconciliation, and healing after genocide. Once the historical context is given, the Elder's reflections of language revitalization are understood through mapping the Medicine Wheel and as having mental, spiritual, emotional, and physical impacts. Further, the work of the community to reclaim and recenter the schools and community to the Ojibwe worldview is viewed as weaving together the Seven Grandfather Teachings of Love, Respect, Honesty, Truth, Wisdom, Humility, and Bravery as acts of resistance to continued actions of the dominant US culture that degrade and dishonor Native American nations and 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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 score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.042
GPT teacher head0.401
Teacher spread0.359 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

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