Vocabulary growth in Armenian–English bilingual kindergarteners
Why this work is in the frame
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Bibliographic record
Abstract
Four-year-old ( n = 20) and five-year-old ( n = 22) bilingual children were tested twice in six months on Armenian (minority language) and English (majority language) picture identification and picture naming tasks to examine receptive and expressive vocabulary growth in both languages. Parental education, Armenian/English language exposure, and nonverbal cognitive ability were also measured as potential predictors of vocabulary. Children showed growth over time in all four vocabulary tasks. However, less growth was observed in Armenian expressive task than in others, which indicated a preference to use English. Armenian language exposure was the unique predictor of Armenian picture identification and picture naming, whereas English language exposure was the unique predictor of English picture identification.
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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) | 0.001 | 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