The First Language in Science Class: A Quasi‐Experimental Study in Late French Immersion
Bibliographic record
Abstract
This article reports analysis of data collected from a quasi‐experimental study in 2 Canadian late French immersion science classes. We examine if, how, and when the first language (L1) is used when students in the first years of their second language learning talk about complex science concepts. We compare differences in groups following a 2‐month intervention. Specifically, we study differences in complexity of oral utterances, and differences in use of L1 in oral utterances after participating in an intervention using a literacy‐based approach, or the typical, district‐prescribed approach. Furthermore, we assess whether increased use of the L1 in complex content statements is positively associated with gains in French and science knowledge. Advanced statistical analyses linked the complexity of student utterances with language use, written skills in French, and performance in science. In this way, this article makes a significant contribution to the existing body of literature on this important topic.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".