‘You be the big sister’: Maternal‐preschooler internal state discourse, perspective‐taking, and sibling caretaking
Bibliographic record
Abstract
Abstract Maternal–preschooler internal state discourse, preschooler perspective‐taking, and sibling caretaking for 32 dyads (preschooler M age=46.4 months, toddlers=14 months) was examined across three contexts varying in emotional demands: (a) naturalistic home observations, (b) mother–preschooler book reading (Parent–Child Affect Communication Task; Zahn‐Waxler, Ridgeway, Denham, Usher and Cole, 1993), and (c) a laboratory maternal separation session. Preschooler perspective‐taking was positively associated with emotional understanding during book reading. However, mothers did not adjust their internal state discourse in any of the three contexts to reflect preschoolers' perspective‐taking skills. Both preschooler internal state language during sibling conflict and maternal leave‐taking discourse were associated with sibling caretaking. Findings are discussed in light of the role of family discourse and dynamics in the development of children's social understanding. Copyright © 2004 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".