“Is It Bad That We Try to Speak Two Languages?”: Language Ideologies and Choices among Urban Sakha Bilingual Families
Bibliographic record
Abstract
This article discusses urban ethnic Sakha bilinguals and their language ideologies and choices, especially with regard to the language socialization of their children—both at home and within the educational system. The usage of the Sakha language within urban spaces has been on the rise in the post-Soviet years, but still tends to be acquired in the home environment as a first language, whereas Russian is acquired later in the public sphere and reinforced in the educational system. The article explores some of the ideological and structural barriers toward Sakha acquisition and maintenance that speakers face, with apprehension regarding bilingualism and the mastery of two languages in educational contexts being a key concern for many Sakha parents. The article also discusses language instruction—especially in schools—in light of the need to begin to accommodate those with little or no Sakha knowledge in order to continue to increase the usage of Sakha by urban speakers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".