My Mother Always Said, “Don’t Be Lazy With Your Inuktitut: Dismantling Linguistic and Cultural Imperialism in Nunavik.
Bibliographic record
Abstract
In a globalized world where English language and Western culture dominate, Nunavik faces a growing threat of language and cultural loss. This dissertation responds to the urgent need for Inuit-led resistance against colonial pressures by fostering self-determination and cultural resilience in education. Through three interconnected manuscripts, it addresses this need by laying a foundation for decolonizing English second-language (ESL) education in Nunavik. Manuscript A critically examines Nunavik’s colonial history in language education and outlines the importance of Inuit Qaujimajatuqangit as a framework for decolonizing ESL. Manuscript B uncovers gaps in intercultural communication and social media use for protecting Indigenous language and culture, underscoring the lack of Inuit-specific research. These findings inform the empirical study in Manuscript C, which amplifies Inuit voices on how to protect Inuktitut and culture. This dissertation culminates in the development of Silattusarniq, an Inuit-specific methodological framework for research that is grounded in Inuit values and perspectives.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.024 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".