Russian in Latvia: an outlook for bilingualism in a post-Soviet transitional society
Bibliographic record
Abstract
What makes people, in shifting power positions of a post-independence period, plan on disusing an already known L2 or learn a new L2? What are the reasons for such shifts and what outcomes can, therefore, be predicted for the future of societal bilingualism surviving alongside ongoing efforts at monolingual unification in a newly independent nationstate? In my paper, I examine Russian in Latvia, and also societal bilingualism in the country in terms of L1/L2 users, language-minority education, competitiveness and language policy, couched in a discussion of various theoretical perspectives on language and nationalism. The Baltic republic, which re-established its independence from the Soviet Union in 1991, has retained a legacy of not only a substantial proportion of the Russian-speaking population who are now learning Latvian as their L2, but also even a slightly greater number of Russian-speaking non-Russians (i.e. Latvians and other ethnic minorities) who had an obligation to acquire and use Russian as their L2 during the Soviet era.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.004 |
| 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".