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Record W4287147153 · doi:10.47381/aijre.v32i2.332

Mino-Pimaatisiwin Beginning the Journey towards Decolonisation and Reconciliation

2022· article· en· W4287147153 on OpenAlexaff
Heather E. Duncan, Jeff Smith, Laurie Bachewich

Bibliographic record

VenueAustralian and International Journal of Rural Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsBrandon University
Fundersnot available
KeywordsIndigenousSocial connectednessCurriculumIndigenous cultureSociologyPedagogyColonialismDecolonizationIndigenous educationPsychologyGender studiesSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Mino-Pimaatisiwin is an Ojibwe term for life in the fullest, healthiest sense. Grounded in anti-colonial theory, this case study explores the impact of infusing Indigenous perspectives into an elementary school curriculum on students, school staff, parents, and community. With a focus on building self-esteem and cultural connectedness among Indigenous students, it uses the cultural frameworks of Mino-Pimaatisiwin and the Ojibwe seven sacred teachings of a good life. Findings indicate high levels of cultural connectedness and a reduced gap in self-esteem levels between Indigenous and non-Indigenous students, an increased awareness among staff of Indigenous history and culture, a greater parent comfort level with visiting the school, and increased involvement from the community.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0130.005
Scholarly communication0.0040.004
Open science0.0010.007
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.040
GPT teacher head0.363
Teacher spread0.323 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2022
Admission routes1
Has abstractyes

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