Age-related differences in attentional bias for emotional faces
Bibliographic record
Abstract
Past research suggests an aging-related positivity effect in orienting to faces. However, these studies have eschewed direct comparison of orienting when positive and negative faces are presented simultaneously, thereby potentially underestimating the degree to which emotional valence influences such effects. In the current study younger and older adults viewed face pairs for 1000 ms, and upon face-pair offset indicated the location of a dot that appeared in the former location of one of the faces, to assess attentional orienting. When shown negative-neutral pairs, both age groups were biased to attend to negative faces, but when shown positive-negative pairs only younger adults showed a bias toward negative; older adults showed a lack of orienting toward either emotional face. Results suggest younger adults have a negativity bias in attention orienting regardless of the valence of nearby stimuli, whereas older adults show an absence of this bias when positive information is present.
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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) | 0.003 | 0.001 |
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".