Syntactic Awareness and Reading Comprehension in Emergent Bilingual Children
Bibliographic record
Abstract
The present study investigated the role of syntactic awareness in reading comprehension among English–French bilinguals learning French as an additional language in Canadian French immersion programs. We examined the direct effect of French syntactic awareness on French reading comprehension as well as the indirect effects mediated through French word reading and French vocabulary. We further examined the extent to which English syntactic awareness contributed to French reading comprehension through cross-language transfer, again considering both the direct effect and the indirect effects through French word reading and French vocabulary. Mediation analyses indicated that, within French, the relationship between French syntactic awareness and French reading comprehension was fully mediated by both French word reading and French vocabulary. In contrast, English syntactic awareness contributed directly to French reading comprehension. Finally, French word reading partially mediated the relationship between English syntactic awareness and French reading comprehension. Our study suggests that children who learn French as an additional language rely on word reading and vocabulary, in addition to French syntactic awareness, to comprehend French texts. Given that English is French immersion children’s stronger language, they use English syntactic awareness to support French reading comprehension both directly and indirectly through French word reading.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".