Sex, Power, and Money: Prediction from the Dark Triad and Honesty–Humility
Bibliographic record
Abstract
Data were collected from two undergraduate student samples to examine (i) the relations of the ‘Dark Triad’ variables (Machiavellianism, Psychopathy, and Narcissism) with the HEXACO personality dimensions, as well as (ii) the ability of the aforementioned characteristics and of the Big Five personality factors to predict outcome variables related to sex, power, and money. Results indicated that the common variance of the Dark Triad was very highly correlated with low Honesty–Humility and that the unique variance of each of the Dark Triad variables also showed theoretically meaningful relations with the other five HEXACO factors. Furthermore, the Dark Triad and Honesty–Humility were strong predictors of three domains of outcome variables—Sex (short–term mating tendencies and sexual quid pro quos), Power (Social Dominance Orientation and desire for power), and Money (conspicuous consumption and materialism)—that were not well predicted by the dimensions of the Big Five. Copyright © 2012 John Wiley & Sons, Ltd.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".