Search advantages for facing social groups reflect optimal interactive group sizes
Bibliographic record
Abstract
Humans are sensitive to the presence of other people as well as their interactions. For example, two individuals are found faster when they face toward (vs. away from) each other. We asked if this perceptual preference for facing social groups might be modulated by group size, being most pronounced for small groups, which are most common in everyday life. In three preregistered experiments, participants searched for facing or non-facing groups, with group size varying from two to eight. Facing groups were found faster than non-facing groups but only for groups up to five people (Experiment 1). This effect replicated when controlling for the number of individuals in the displays (Experiment 2) and was reduced for displays in inverted orientations (Experiment 3). Thus, human perception seems to be well-tuned to detect interactions in small groups, which parallels social preferences in everyday life and bridges across visual perception and social cognition.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".