Interjudge Agreement, Self-Enhancement, and Liking: Cross-Cultural Divergences
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
The authors investigated whether the lower self-enhancement found among Japanese is due to them being more accurate in their self-perceptions than Americans. Japanese and American participants were recruited from school clubs, where groups of five people rated each other and themselves. The Japanese sample was overall self-critical, whereas the American sample was overall self-enhancing. Moreover, as the desirability of the traits increased, Americans showed more self-enhancement, whereas Japanese showed more self-criticism. An accuracy account is unable to account for the cultural differences in self-enhancement because Americans showed more accuracy in their self-perceptions (as evidenced by self-peer agreement) than Japanese. Intracultural analyses further revealed that individual self-enhancement can be “unpackaged” by trait measures of independence and interdependence. Exploratory analyses of liking were also con ducted, revealing that American liking hinged on perceived similarity, self-verification, familiarity, and reflected-self-enhancement, whereas Japanese liking was based on familiarity, reflected self-enhancement, lower independence, and interdependence.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.027 | 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