Do siblings influence one another? Unpacking processes that occur during sibling conflict
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study examined the extent to which 205 sibling dyads influenced each other during conflict. Data were collected between 2013 to 2015. The sample included 5.9% Black, 15.1% South Asian, 15.1% East Asian, and 63.8% White children. Older siblings were between 7-13 years old (Female = 109) and younger siblings were 5-9 years old (Female = 99). Siblings' conflict resolution was analyzed using dynamic structural equation modeling. Modeling fluctuations in moment-to-moment data (20-s intervals) allowed for a close approximation of causal influence. Older and younger siblings were found to influence one another. Younger sisters were more constructive than younger brothers, especially in sister-sister dyads. Sibling age gap predicted inertia in older siblings. Socialization processes within sibling relationships are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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 it