UPPS Dimensions of Impulsivity
Bibliographic record
Abstract
Although cognitive distortions are widely acknowledged in the explanation of impulsivity-related psychopathologies (and more recently in the explanation of specific impulsive behaviors), no study has systematically verified whether they can also explain the cognitive processes underlying these impulsivity traits of personality: urgency, lack of premeditation, lack of perseverance, and sensation seeking (UPPS). Moreover, childhood maltreatment has been frequently associated with both cognitive distortions and impulsive behaviors but never with UPPS traits. A study was conducted on undergraduate students to examine the influence of cognitive distortions and childhood maltreatment on four dimensions of impulsivity from the UPPS Impulsive Behavior Scale. Regression analyses revealed that Premature Processing, a term applied to a group of seven cognitive distortions such as emotional reasoning and confusing needs and wants, as well as childhood maltreatment, was able to predict significantly and independently the Negative Urgency dimension of impulsivity, above and beyond gender and the three other subscales of the UPPS Impulsive Behavior Scale. Coherent with Beck’s cognitive model, these results suggest that the Negative Urgency trait is associated with cognitive distortions that can undermine thought processes in a variety of ways, increasing the likelihood of acting rashly. However, more studies are needed to develop instruments and identify specific forms of cognitive distortions associated with impulsivity traits.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".