Letter-Sound Correspondence Acquisition in First Semester Russian
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
Although teachers of first year Russian courses know that students often mistake letters of the Cyrillic alphabet for English letters when reading aloud and writing, no studies have documented which letters cause the most frequent misreadings, how long misreading persists, and what implications misreading has for student achievement. This semester-long study attempts to answer these questions by isolating the question of letter-sound correspondence from the larger questions of the students’ interlanguage phonology. The researchers found that ц, ё, ю, й, э consistently gave students difficulty. After 12 weeks (84 hours) of instruction, students had 93% accuracy in matching Cyrillic letters to their primary sound values. While this represents a high degree of accuracy by the end of the first semester, the researchers found that higher accuracy rates earlier in the semester (after 4 weeks [28 hours] of instruction) had a moderate positive correlation with success in the course (as measured by final grade), while high levels of gain in accuracy between the fourth and twelfth weeks of the semester showed moderate negative correlation with success in the course, suggesting that the earlier the students master letter-sound correspondences, the greater their chances for success in studying other features of the language.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.052 | 0.002 |
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