The Caring-Uncaring Emotional (CUE) Inventory: A Pilot Study of a New Measure of Affective Psychopathy Traits
Bibliographic record
Abstract
An affective dimension of psychopathy, e.g., callousness, lack of empathy, unemotional responsiveness, is essential to the study and understanding of psychopathy. It may be advantageous to have available brief measures of the affective dimension that may be utilized with adults and/or youths. The current study aims to provide preliminary validation of a new, brief, self-report measure of the affective dimension of psychopathy that may be suitable in the study of both adults and adolescents. A pilot study of the Caring-Uncaring Emotional (CUE) Inventory was conducted with 155 men and women recruited from a community sample. The 23-item CUE Inventory was found to have high internal consistency reliability (α = .91) and was found to have high correlations with an expanded, 36-item version of the Levenson Self-Report Psychopathy Scale (LSRP; Levenson, Kiehl, & Fitzpatrick, 1995), especially with the expanded LSRP Callous subscale (r = .85), thus supporting preliminary concurrent validity. The CUE was only modestly associated with the Antisocial subscale of the expanded LSRP, further supporting it as a measure of affective rather than behavioral traits. The CUE accounted for an additional 57% of the variance in LSRP total scores after controlling for demographic variables. An Exploratory Factor Analysis suggested a three-factor solution, with the first factor accounting for approximately 37% of the variance in scores and with high to very high loadings on this factor, which appears, tentatively, as a good measure of callousness. In conclusion, the CUE may function as an operational representative of callousness in adults in a community sample. Further study is needed to better clarify the latent structure of this scale and to determine its associations with other similar measures of the affective dimension of psychopathy and with other external correlates. The potential application of this measure in youths remains to be studied.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".