Self/observer agreement in personality assessment by observers’ relationship types
Bibliographic record
Abstract
We examined two forms of self/observer agreement (correlational and mean-level) in personality using a Dutch university student sample ( N =5,405) with self-reports and observer (informant) reports from parents, siblings, friends, and partners/spouses. Correlational self/observer agreement was strong across all HEXACO-PI-R scales and across relationship types ( r ¯ ≥ 0.59, but highest for partners). Regarding mean-level self/observer agreement, alleged positive bias in self-reports was not observed. Only Openness showed higher means for self-reports than for observer reports across all relationship types ( d = 0.37). Mean observer report scores varied by relationship: people perceived their children as more honest and less anxious and perceived their siblings as less agreeable than other observers did. Partner reports showed the closest mean-level agreement with self-reports.
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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 | 0.023 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".