IS HALO HELPFUL? EFFECTS OF INDUCING HALO ON PERFORMANCE RATING ACCURACY
Bibliographic record
Abstract
Halo error, although traditionally viewed as being detrimental to the quality of social cognition, has been purported to have potentially beneficial effects in some situations (Murphy, Jako, & Anhalt, 1993; Nathan & Tippins, 1990). Consequently, Murphy et al. called for investigations on the effects of inducing halo. The present experiment tested the effect of inducing halo on performance rating accuracy. Participants ( N =160) were randomly assigned to either the induced halo or control condition. Participants observed videotaped performances then made job performance ratings after a 24-hour delay. In spite of a high degree of power, the effect of the halo induction on rating accuracy was not significant. Thus, it appears plausible that any potentially beneficial effects of halo on performance ratings may be limited to naturally occurring halo rather than to induced halo.
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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 | 0.001 | 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 | 0.001 |
| 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 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".