The future of Inuktitut in the face of majority languages: Bilingualism or language shift?
Bibliographic record
Abstract
Inuktitut, the Eskimo language spoken in Eastern Canada, is one of the few Canadian indigenous languages with a strong chance of long-term survival because over 90% of Inuit children still learn Inuktitut from birth. In this paper I review existing literature on bilingual Inuit children to explore the prospects for the survival of Inuktitut given the increase in the use of English in these regions. Studies on code mixing and subject realization among simultaneous bilingual children ages 2–4 years show a strong foundation in Inuktitut, regardless of extensive exposure to English in the home. However, three studies of older Inuit children exposed to English through school reveal some stagnation in children's Inuktitut and increasing use of English with age, even in nonschool contexts. I conclude that current choices about language use at the personal, school, and societal levels will determine whether Inuit are able to reach and maintain stable bilingualism, or whether Inuktitut will decline significantly in favor of majority languages.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".