Self-Other Agreement: Comparing its Relationship with Performance in the U.S. and Europe
Bibliographic record
Abstract
The use of multi-source feedback has proliferated in the United States in recent years; however, its usefulness in other countries is unknown. Using a large sample of American managers (n=3793), this study first replicated earlier studies demonstrating that simultaneous consideration of self and other ratings of leadership skills is important for managerial performance ratings. In addition, the impact of self–other agreement on performance was investigated among 2732 managers in five European countries (U.K., Germany, France, Denmark, Italy). Results indicated that the effect of self and other ratings in the prediction of performance differs between the U.S. and the European countries in that the simultaneous inclusion of both self and other ratings is generally less useful in those countries than in the U.S. Further, the effect of self–other agreement varies among the European countries. Implications for multi-source feedback interventions as well as multi-national personnel management are discussed.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".