Mixing Beginners and Native Speakers in Minority Language Immersion: Who is Immersing Whom?
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
The mixing of L1 speakers with L2 learners occurs regularly in immersion situations where a minority language is the target language. This study looks at early immersion in Irish among children from diverse language backgrounds. It examines the children's frequency of target language use and the effect of the group's linguistic mix on that use. A sample of 60 children from different language backgrounds was drawn from pre-school classes with different compositions of children from Irish-only, Irish-English, and English-only homes. The results showed relatively low levels of target language use even by the native speakers. The linguistic composition of the group significantly affected the frequency of target language use by the L1 children and the children from bilingual homes but had less effect on the use by English speakers. The importance of addressing the needs of native speakers as well as those of beginners in such immersion situations is explored, and the implications for teacher training and teaching strategies are considered.
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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) | 0.000 | 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