Playmates and teachers: reciprocal and complementary interactions between siblings.
Bibliographic record
Abstract
Associations between siblings' reciprocal (i.e., play) and complementary (i.e., teaching) interactions in 70 sibling dyads (1st-born siblings' mean age=81.6 months, range=59-119 months; 2nd-born siblings' mean age = 56.1 months, range = 5-79 months) were examined. Dyads participated in 2 sessions (play, teaching) and completed a sibling relationship quality measure. Findings revealed modest associations across play and teaching sessions; for example, greater learner involvement in the teaching task was associated with more collaboration and less negative affect during play. In addition, the 2nd-born's teaching style was related to perceptions of relationship quality. Results indicate that reciprocal and complementary types of interactions may provide important contexts for development of individual differences in dyadic and individual behaviors and may afford opportunities for siblings to influence one another's development.
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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) | 0.001 | 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 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".