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Record W6886121546 · doi:10.14288/cjne.v32i1.196486

Inuit Language, Culture, and Parental Engagement in Schooling in One Nunavut Community

2021· article· en· W6886121546 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2021
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsAssertivenessParticipant observationEthnic groupEthnographyGateway (web page)

Abstract

fetched live from OpenAlex

This article explores findings on Inuit parental engagement in schooling drawn frominterviews with 74 Inuit adults and from four months of participant observation inone Nunavut community. It describes the many ways that Inuit parents supporttheir children's learning—ways that are sometimes different from those of astereotypically assertive middle-class Euro-Cananadian parent. It argues that it is amistake for teachers to expect Inuit parents to support schools as EuroCanadianparents might. Instead, to increase parental involvement, Nunavut schools shouldhonor Inuit wishes by bringing Inuit knowledge strongly into schooling. The desirefor more culture, more lnuktitut, and more Elders in schools was passionatelyexpressed by participants who also wanted higher academic standards. Althoughparticipants expressed support for schooling due to its role as a gateway to paidemployment, further support would result from making schooling in Nunavutsupportive of Inuit language and culture.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.864

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.004
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.084
GPT teacher head0.406
Teacher spread0.322 · 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 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

Citations6
Published2021
Admission routes1
Has abstractyes

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