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Record W2168459469 · doi:10.7202/044964ar

Inuit perspectives on sustaining bilingualism in Nunavut

2010· article· en· W2168459469 on OpenAlexaffvenueabout
Shelley Tulloch, Quluaq Pilakapsi, Monica Shouldice, Kim Crockatt, Cayla Chenier, Janet Onalik

Bibliographic record

VenueÉtudes/Inuit/Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsGovernment of NunavutSaint Mary's University
Fundersnot available
KeywordsNeuroscience of multilingualismLiteracySubsistence agricultureThrivingPerspective (graphical)SociologyPedagogyLinguisticsGeographyComputer scienceSocial scienceAgriculture

Abstract

fetched live from OpenAlex

This article presents an Inuit perspective on how bilingualism and biliteracy may be achieved and sustained in Nunavut. The Nunavut Literacy Council interviewed “language role models” (i.e., Inuit who are admired for their skill in acquiring, using, and transmitting language) in order to gain their insights into language, literacy, and learning processes in their communities. Interviews show that the role models articulate language, subsistence, social, and socioeconomic skills and practices as parts of an integrated whole. Bilingualism and biliteracy are conceptualised as continua of practice, where prioritised forms of expression reflect Inuit values, and are linked to specific uses and outcomes. Role models present language learning as lifelong, holistic, modelling-based, and anchored in meaningful and safe contexts, including spaces, activities, and relationships. Their perspectives are essential for the development of non-formal educational strategies to support thriving bilingualism in Nunavut.

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)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.785
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.107
GPT teacher head0.500
Teacher spread0.394 · 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 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

Citations5
Published2010
Admission routes3
Has abstractyes

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