Status-driven risk taking: Another “dark” personality?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it