Cross Linguistic Transfer of Literacy Skills between English and French among Grade 1 Students Attending French Immersion Programs
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
This study explored the impact of a supplemental reading intervention delivered in English in Grade 1 on the performance of at-risk children educated in French Immersion schools. The intervention contrasted “Direct Mapping and Set-for-Variability” with a “Common and Best Practices” taught control condition in a matched quasi-experimental design. To test claims of cross-linguistic transfer, measures of English and French word reading were administered before and after intervention. Hierarchical linear modeling analyses confirmed that children in the intervention condition showed improved performance at posttest on measures of English and French regular, exception, and pseudoword reading compared to the control condition. Intervention-specific cross language effects on French word and pseudoword reading shown here provide partial support for causal models of transfer in bilingual reading development.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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