Measuring the Dark Core of Personality in Portugal: A Psychometric Examination of D
Bibliographic record
Abstract
The dark core of personality is a recently developed construct that encompasses the malevolent, antagonistic, and aversive side of human nature. The aim of the present study is to examine the psychometric properties of the dark core of personality D measure, namely D70, and its two shorter versions, D35 and D16, in Portugal. Two samples of Portuguese participants were used in the current study (N = 570, M = 35.42 years, SD = 11.41, range = 18–69; N = 242, M = 30.19 years, SD = 12.78, range = 16–77). The one-factor models of the D70, D35, and D16 obtained adequate fits, but the bifactor and second-order models of the D70 were less than satisfactory. Internal consistency/reliability, as measured by the alpha and omega coefficients and more traditional indicators, was very good. Convergent validity, and criterion-related validity (with trouble with the law, arrested by police, sentenced to prison, and alcohol/drug abuse variables) were demonstrated. Cross-gender and cross-age measurement invariance was established, with males and younger participants scoring significantly higher. The findings provide some support for the use of the D as a valid and reliable measure of the dark core of the personality construct.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".