Implementation of Language Policy in School Education of the Chuvash Republic (late 1980s– 2019)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The article discusses some of the problems of language policy in the Chuvash Republic. Attention is paid to the Chuvash language teaching in educational institutions after the adoption of republican legislation on languages in 1990. This process was not simple, it was accompanied by a lack of understanding of the necessity of studying the Chuvash language in the regions of the republic where Russian population predomiates over the Chuvash one. For more than a quarter of a century, considerable experience has been gained in the organization and methods of teaching the Chuvash language, and despite the fact that it has barely become more widely spoken, it has become more familiar at the domestic and public levels. The transition to the voluntary learning of native languages began in the second half of 2017 and was accompanied by organizational difficulties. The article also gives opinions of the Chuvash language teachers on the problems of its teaching and usage in the family and social environment.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it