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Record W6889655282 · doi:10.26203/fz34-5b86

An Inuuqatigiit school through Inuit language, culture, and identity-centred bilingual school program

2025· article· en· W6889655282 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupAgency (philosophy)Work (physics)Data collection

Abstract

fetched live from OpenAlex

Nunavummiut have long been clear; they want to see continued improvements in Nunavut education. It is essential to continue to develop and improve Nunavut education by learning from the past in examining what school programs can look like and how Inuit language, culture, and identity-centred bilingual school program can be developed and implemented in the creation of an Inuuqatigiit school. This unikkaaqatiginniq case study shares and documents community narratives on how Inuksuit School of Qikiqtarjuaq, NU, became an Inuuqatigiit school (1992 to 1999) and what the program looked like and how the Inuit language, culture, and identity-centred bilingual school program that was grounded in Inuit worldview and focused on the whole person, was developed and implemented. Key findings indicate the importance of community/Inuit control of community/Inuit education; Inuit worldview and identity-centred bilingual program focus; Inuuqatigiit School environment; majority Inuit staff/Elders and continual staff development; and parent, community, and Community Education Council direction of and engagement in education in supporting student success, whole-person development, and bilingualism.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.210
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0120.002
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.214
GPT teacher head0.638
Teacher spread0.424 · 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 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
Published2025
Admission routes1
Has abstractyes

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