Corporate Psychopathy and the Full-Range Leadership Model
Bibliographic record
Abstract
The B-Scan 360 is a relatively new, purpose-built measure of corporate psychopathy that addresses many of the issues inherent in studying psychopathy in organizations. The primary goal of the present study was to measure the relationship between employees' perception of psychopathic features in their supervisor and their rating of their supervisor on the Full-Range Model of Leadership. The second goal of the study was to test the B-Scan 360's factor structure and test its interrater reliability in an organizational sample. A total of 491 civic employees and 116 employees from a branch of a large financial company completed the B-Scan 360 as well as the Multifactor Leadership Questionnaire on their direct supervisor. The B-Scan 360 and all of its four factors were positively correlated with passive leadership (Laissez-Faire leadership) and negatively correlated with positive leadership (both Transactional and Transformational leadership). Furthermore, results revealed the same four-factor structure and good interrater reliability for the B-Scan 360 in this business sample as previously reported for a general population. Overall, the results provide additional support for the B-Scan 360 as a measure of psychopathic traits in corporate settings.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".