Telltale Gait: The Role of Nonverbal Cues in Perceptions of Personality and Vulnerability
Bibliographic record
Abstract
Non-verbal behaviour often provides one of the first opportunities to make socially relevant judgments.For example, gait has been shown to inadvertently signal information about personality and vulnerability.Although non-verbal cues such as gait appear to signal socially relevant information, researchers have identified distinct differences in the ability of observers to accurately perceive these cues.Based on this research, Study 1 examined the personalities and victimization histories of walkers in relation to their gait, and Study 2 explored individual differences in observer's perceptions of the walkers' personality and vulnerability.While victimization history was associated with the display of vulnerable gait cues in Study 1, this association was dependent on victimization type and the cognitive state of the walker.That is, when the walkers felt comfortable, those who had exclusively experienced sexual victimization displayed significantly more vulnerable gait cues than non-victims, while walkers who had exclusively experienced violent victimization did not.Conversely, when the walkers felt uncomfortable, no associations were identified between gait and victimization history.Further, no associations were identified between gait and personality.In Study 2, psychopathy was identified as the most salient predictor of accuracy in perceiving vulnerability to victimization.This association was also dependent on victimization type, where observers higher on psychopathy were significantly more accurate in perceiving vulnerability to violent, but not sexual victimization.While observers were not able to accurately perceive the walkers' personalities, there was a general tendency to view sexual victims as passive, while violent and non-victims were viewed as charismatic.Taken together, the results of the current study raise questions about the role gait plays in perceptions of vulnerability and personality among psychopathic observers.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".