The Effect of Psychological Distance on Children’s Reasoning about Future Preferences
Bibliographic record
Abstract
Young preschool-aged children often have difficulty thinking about the future, but tend to reason better about another person's future than their own. This benefit may reflect psychological distance from one's own emotions, beliefs, and states that may bias thinking. In adults, reasoning for others who are more socially distant (i.e., dissimilar, unfamiliar other) is associated with wiser and more adaptive reasoning. The current studies examined whether this effect of social distance could be demonstrated in young children's future thinking. In a future preferences task, 3- and 4-year-olds were shown 5 pairs of child and adult items and selected which ones they would prefer when grown-up. Children answered for themselves, a socially close peer, or a socially distant peer. Social distance was manipulated by varying similarity in Study 1 and familiarity in Study 2. In Study 1, reasoning for similar and dissimilar peers was significantly more accurate than reasoning for the self, but reasoning for similar and dissimilar peers did not differ. In Study 2, scores showed a step-wise increase from self, familiar peer, to unfamiliar peer, but only reasoning for an unfamiliar peer was significantly better more accurate than reasoning for the self. Reasoning for a familiar peer did not differ from reasoning for the self or for an unfamiliar peer. These results suggest that, like adults, children benefit from psychological distance when reasoning for others, but are less sensitive to degrees of social distance, showing no graded effects on performance in Study 1 and weak effects in Study 2. Stronger adult-like effects may only emerge with increasing age and development of other socio-cognitive skills.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".