Language Loss and Language Learning in Internationally Adopted Children
Bibliographic record
Abstract
Internationally adopted (IA) children begin acquiring one language from birth (L1), but typically discontinue it in favour of their adoption language (L2). Language attrition occurs quickly with IA children unable to speak/understand their L1 within months of adoption. However, as adults IA test participants show certain advantages in this language compared to monolingual speakers never exposed to it, suggesting that certain elements of the L1 may be retained. Neuroimaging studies have found that IA participants exhibit brain activation patterns reflecting the retention of L1 representations and their influence on L2 processing. This chapter reviews research on L1 attrition in IA children, discussing whether/how elements of the L1 may be retained. It discusses how L1 attrition versus retention might influence subsequent language processing in the L1 and L2. Implications of language attrition versus retention patterns observed in IA participants for neuroplasticity and language acquisition are also discussed beyond this specific group.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".