Default mode network is associated with wise advising from the second- but not the third-person perspective
Bibliographic record
Abstract
Abstract Advice-giving is an important way to share life experiences and promote wisdom in society. We hypothesized that resting-state Default Mode Network (DMN) activity should be associated with increased wisdom when advising from a self-related perspective due to the DMN's involvement in reflection of personal life experiences. In our study, 52 participants provided advice on various life dilemmas using either a second- or third-person perspective after receiving a resting-state functional MRI scan. The results showed that participants felt significantly smaller psychological distance from advising protagonists on life dilemmas from the second- than the third-person perspective. Additionally, the amplitude of low-frequency fluctuation (ALFF) in regions of the DMN (e.g., prefrontal cortex) was significantly correlated with metacognitive humility when advising from the second- but not the third-person perspective. Taken together, resting-state DMN activity may contribute to wise advising from a second-person perspective but not a third-person perspective, which involves greater self-distancing.
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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 | 0.002 |
| 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) | 0.002 | 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".