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Record W7019824772

Inuktitut and Inuit youth: Language attitudes as a basis for language planning

2014· dissertation· en· W7019824772 on OpenAlexaboutno aff

Bibliographic record

VenueWinnSpace (University of Winnipeg) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPremisePerceptionLanguage planningNegotiationLanguage policyFirst language
DOInot available

Abstract

fetched live from OpenAlex

The objective of this thesis is to identify language perceptions and attitudes among Inuit
\nyouth (18-25 years old) in three Baffin Island communities: Iqaluit, Pangnirtung and
\nPond Inlet. The premise of the study is that the Inuktitut language will only thrive if
\nyoung Inuit are committed to using and maintaining their ancestral language.
\nSemi-directed interviews (37) and closed questionnaires (130) elicit information on dayto-
\nday language choice, perceptions of language use, problems or concerns in daily
\nlanguage use, symbolic and practical value of Inuktitut, English and French, and opinions
\nabout the promotion of Inuktitut in Nunavut. These language perceptions and attitudes
\nexpressed by young Inuit illuminate reasons for the current level of use of Inuktitut and
\nhelp prioritize areas for future language planning.
\nFindings suggest that although Inuktitut remains relatively strong, Inuit youth are aware
\nof and sensitive to the loss of Inuktitut, particularly in Iqaluit. Inuktitut is valued by Inuit
\nyouth because it is the mother tongue; the language of Inuit tradition, culture and identity;
\na “fun” language; a language that is being lost; a useful language for getting a job; and an
\neffective tool for participating and integrating in the community. At the same time,
\nEnglish is valued because it is a “cool” language, the language of the new millennium
\nthat allows Inuit youth to travel, get an education, get jobs, and participate in their local
\ncommunities and beyond.
\nInuit youth are strongly motivated to maintain both Inuktitut and English. They need both
\nlanguages in order to pursue their aspirations of making the best of both worlds in which
\nthey are currently negotiating their place.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.055
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.035
GPT teacher head0.384
Teacher spread0.348 · 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

Citations31
Published2014
Admission routes1
Has abstractyes

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