Altruistic People Show No Self-Reference Effect in Memory
Bibliographic record
Abstract
The self-reference effect (SRE), by which encoding of information is done in a self-referential manner (e.g., "Does the word describe you?"), enhances subsequent memory performance. It is thought to reflect that self-reference is a highly practiced task in everyday life. Accordingly, it is expected that the types of tasks that produce memory enhancement vary according to individual differences of past experiences. On the basis of neuroimaging studies, we hypothesized that social desirability reference ("Is this word socially desirable?") produces memory enhancement as with SRE in people who have chosen altruistic behavior frequently. Participants processed trait adjectives in relation to themselves, social desirability, and meaning. Then they performed a free recall task. The self-report altruism scale was used to assess the frequency of past altruistic behavior. Consistent with our prediction, the social desirability reference yielded the best retention in the high-altruism group. SRE was observed only in the low-altruism group.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".