Language expansion in Chinese parent–child mealtime conversations: across different conversational types and initiators
Bibliographic record
Abstract
This study examined the distribution of language expansion in parent–child (preschool aged) mealtime conversations in 30 Chinese middle-class families. The conversations were categorised into four types: contextualised & conflicted, contextualised & non-conflicted, decontextualised & conflicted, and decontextualised & non-conflicted. The language expansions were analysed using the systemic functional linguistic theory related to cohesive patterns in language expansion: elaborations, extensions, and enhancements. While the parents dominated the conversations generally, the children were active contributors, initiating over one-quarter of the conversations. Initiation had an impact on the distribution of the conversational types: the proportions of contextualised & non-conflicted conversations was significantly higher in child-initiated conversations. The contextualised & conflicted conversations accounted for a higher proportion in parent-initiated conversations. It was the conversational type rather than initiation, which had an effect on the distribution of language expansion patterns. The least occurring decontextualised & conflicted conversations generated the most extensions. The frequently appeared contextualised & non-conflicted conversations, however, produced the fewest expanded messages. The implications from the findings for promoting high-quality mealtime conversations conducive to children’s language learning are discussed.
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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 | 0.000 | 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 | 0.000 |
| 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".