Status-driven risk taking: Another “dark” personality?
Bibliographic record
Abstract
We elucidated a recently proposed individual difference variable, Status-Driven Risk Taking (SDRT), in three different samples of Canadian undergraduate students. In particular, we focused on the relationships between SDRT and the “Dark Triad” of Machiavellianism, narcissism, and psychopathy. In each of the three studies, SDRT was moderately correlated with Dark Triad variables. In Study 1, SDRT and the Dark Triad were negatively associated with HEXACO Honesty-Humility and positively associated with antisocial behaviour. In Study 2, SDRT, Machiavellianism, and psychopathy were negatively correlated with Big Five Agreeableness and Conscientiousness and positively correlated with prioritizing extrinsic life aspirations. In Study 3, we found consistencies in the vocational interests associated with SDRT and the Dark Triad. Overall, SDRT was not only related to personality, life aspirations, vocational interests, and the Dark Triad in the hypothesised directions but, when entered in regression analyses with the Dark Triad, SDRT was also shown to account for unique variance in the prediction of important outcome variables. Thus, these studies provide preliminary evidence that SDRT might be a useful addition to the “dark” personality constructs.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".