Code-switching in the speech of a balanced infant bilingual and early talker
Bibliographic record
Abstract
This case study investigates codeswitching in infant bilingualism and may be of special interest due to the fact that its participant is an early talker and a balanced bilingual. Drawing on English/Greek child data, it studies the relationship between language competence and type of code-switching from a developmental perspective, and aims to contribute to a deeper understanding of code-switching in infant bilinguals. Code-switching was facilitated by an early onset of syntax and is interpreted as an outcome of the child's growing grammatical and pragmatic competence, rather than of a lack of linguistic resources. The rich set of longitudinal data features situational, discourse-related and participant-related code-switching events, as well as rare contextualisation examples. Code-switching is observed to be a strategy to attain specific communicative goals, such as disambiguation, clarification, disagreement etc., and is constrained by the grammar of English and Greek and the principles of discourse and language use.
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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 | 0.000 | 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) | 0.000 | 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 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".