Verbal overshadowing at an immediate Task-Test delay is independent of Video-Task delay
Why this work is in the frame
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Bibliographic record
Abstract
We sought to identify the sources of effect size differences in replications of the verbal overshadowing effect: the negative effect of verbally describing a face on later recognition of the face (Schooler & Engstler-Schooler, 1990). Comparisons of the original findings with those in a registered replication report (Alogna et al., 2014) showed differences in the patterns of recognition in the criterial conditions defining the verbal overshadowing effect. The review indicates that although verbal overshadowing is strongest when the recognition task immediately follows the verbal description task, that delay variable is confounded with the delay between the encoding of the face and the verbal description task. We varied the delay between face encoding and the verbal description task under conditions where the recognition test immediately followed the description task. The verbal overshadowing effect was independent of the delay between face encoding and verbal description of the face.
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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 | 0.001 |
| 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) | 0.003 | 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