The Lexical Development of Canadian-Born Romanian L1 Bilingual Kindergarteners
Bibliographic record
Abstract
This study charts the lexical development of three sequential bilingual kindergarteners whose first language, Romanian, was acquired naturalistically at home, and whose second language, English, was acquired in kindergarten. The children’s lexical development in English and Romanian was assessed at five different points over a two-year period via the PPVT-4 (peabody picture vocabulary test 4) and a specially adapted PPVT-4 for Romanian. The children’s lexical repertoires were further analyzed to uncover home versus school and cognate versus non-cognate acquisitional differences. In addition, because there is no database of lexical items acquired by monolingual Romanian children, the PPVT-4 adapted for Romanian was administered to 22 monolingual six-year-old Romanian children in Sibiu, Romania. The findings indicate the following: (i) the three bilinguals’ receptive vocabulary in English was below average when they joined kindergarten, and at or above average two years later; (ii) their lexical growth in Romanian was steady; (iii) the bilinguals’ scores for words belonging to a home register reflected ceiling effects in English and Romanian (i.e., were very well known); (iv) academic words were known to an equal extent in English and Romanian, but scores were lower than for the home register; and (v) there was no definitive evidence of cognate facilitation. A comparison of the monolingual and bilingual Romanian repertoires reflects the following: (i) equally high scores for home items; (ii) differences in scores in the academic register in favour of the Romanian monolinguals; and (iii) important lifestyle and cultural differences between the groups. The Romanian children, for example, were more familiar than their Canadian counterparts with items related to home maintenance, such as șmirghăluiește (‘sanding’) and mistrie (‘trowel’), or items probably learned in school, such as foca (‘walrus’) and broască țestoasă (‘tortoise’).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".