Older Adults' Multiple Stereotypes of Young Adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although the nature of younger adults' attitudes toward older adults has been researched extensively, there are long-neglected questions regarding older adults' views of young adults. In the first phase of this three phase study, community dwelling seniors generated traits they believed characterized young people. In the second phase, a subsample of the original participants sorted the traits into groups that could be found in one and the same young person. Fifteen stereotypes appeared when these results were submitted to hierarchical cluster analysis. In the final phase, a subsample of the original older adult participants rated how typical each of the stereotypes was of younger people. As well, each of the stereotypes were rated using an abbreviated version of Kogan and Wallach's (1961) semantic differential scale. Results indicate that the stereotypes older people hold of younger people are generally more positive than negative. Further, the positive stereotypes are viewed as more typical of younger adults than are the negative stereotypes.
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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 | 0.000 |
| 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) | 0.001 | 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