Memory for Proper Names in Old Age: A Disproportionate Impairment?
Bibliographic record
Abstract
A common complaint of older adults is that they have trouble remembering names, even the names of people they know well. Two experiments examining this problem are reported in the present article. Experiment I tested episodic memory for surnames and occupations; older adults and younger adults under divided attention performed less well than did full attention younger adults, but showed no disproportionate loss of name information. Experiment 2 examined the ability to name photographs of public figures and of uncommon objects; this experiment therefore tested retrieval from semantic memory. In this case adults in their 70s did show an impairment in recall of names of known people, but not of known objects. Further analyses revealed systematic relations between naming, recognition, and rated familiarity of the categories used. Familiarity largely determined the proportions of recognizable items that were named in a prior phase. Overall, little evidence was found for a disproportionate age-related impairment in naming in either episodic or semantic memory.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".