Oxytocin and enhancement of the positive valence of social affiliation memories: An autobiographical memory study
Bibliographic record
Abstract
Intranasal oxytocin has been shown to alter self-perceptions of personality (e.g., more trusting, increased extraversion). To follow up these findings, we examined the acute effects of two doses of intranasal oxytocin (24 IU and 48 IU) on another form of self-referential cognition: autobiographical memory. Changes in autobiographical memory (personal memories for the past) could conceivably effect change in self-perception and consequently alter social behaviors. We predicted that oxytocin would increase the number of specific personal memories recalled, and promote the recall of positive social affiliation memories. Seventeen male participants self-administered a placebo or oxytocin (24 IU, 48 IU) using a nasal spray on three separate occasions in a placebo-controlled, double-blind, and within-subject experiment. Participants completed the Autobiographical Memory Test (AMT) 110 minutes later. Analyses revealed a quadratic dose-response curve for the effects of intranasal oxytocin on autobiographical memory recall. The 24 IU dose, relative to the 48 IU dose and placebo, increased the number of specific personal memories recalled and promoted the recall of social affiliation memories that were rated more positively. The lack of effect with the 48 IU dose could be due to saturation of the oxytocin receptors at higher doses. Changes in autobiographical memory may be one mechanism by which oxytocin alters prosocial worldviews.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".