Sibling Personality Traits, Dyadic Gender Composition, and Their Association With Sibling Relationship Quality
Bibliographic record
Abstract
The current study contrasted two different hypotheses about the relationship between sibling personality and sibling relationship quality: absolute value and dyadic similarity. The absolute value hypothesis suggests that the level of one sibling’s personality will predict sibling relationship quality. The dyadic similarity hypothesis argues that the similarity between siblings on personality will be associated with sibling relationship quality. Observational data on child personality and maternal-report data on sibling relationship quality were collected on 321 sibling dyads (<i>N</i> = 642). Children were videotaped while completing five tasks, and personality traits were rated by independent raters based on thin-slice methodology. Support was found for the absolute value hypothesis but not the sibling similarity hypothesis: the personality traits of younger siblings predicted sibling relationship agonism, particularly when the older sibling was female. Findings suggest that older sisters are more sensitive to negativity in their younger siblings than are older brothers.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".