The Activation of Aging Stereotypes in Younger and Older Adults
Why this work is in the frame
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Bibliographic record
Abstract
The activation of ageism and aging stereotypes in younger and older adults was investigated by manipulating both the valence and the stereotypicality of trait stimuli. Participants completed a lexical decision task in which the stimulus onset asynchronies (SOAs) between the prime and target stimuli were varied to examine the effects of automatic and controlled processing (300 and 2,000 ms, respectively). Both younger and older adults demonstrated strong stereotype activation for elderly stereotypes but relatively weak activation for young stereotypes. Both younger and older adults also demonstrated a positive bias toward older people, which was not moderated by SOA. These findings suggest that younger and older adults do not differ in their accessibility to aging stereotypes or to their age-based biases, which appear to be positive toward elderly people.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it