Age differences in memory for names and occupations associated with faces: the effects of assigned and self-perceived social importance
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
It has been documented that older adults’ memory deficits can be reduced for information depicted as personally and socially important (e.g., Hargis & Castel, 2017 [Younger and older adults’ associative memory for social information: The role of information importance. Psychology and Aging, 32(4), 325–330]). The current study aimed to further assess the effects of both arbitrarily assigned and self-perceived importance in younger and older adults’ memory for names (low in schematic support) and occupations (high in schematic support) associated with faces. Participants studied the same 16 face-name-occupation triplets (with neutral facial expressions) across four blocks, each including a free recall of names and occupations. At the end, they completed a cued recall of names and occupations. The faces were arbitrarily cued as socially important (i.e., with an orange frame) or unimportant (e.g., without a frame). The perceived social importance was assessed by rating all the triplets based on a 10-point Likert Scale (1 = least and 10 = most important) at the end. The results showed that age-related memory deficits were reduced or even eliminated for occupations (high in schematic support) relative to names (low in schematic support), especially in the free recall of faces self-perceived as important. In other words, the combination of schematic support and self-perceived importance can effectively mitigate older adults’ memory deficit.
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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) | 0.000 | 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