Are Dishonest Extraverts More Harmful than Dishonest Introverts? The Interaction Effects of Honesty‐Humility and Extraversion in Predicting Workplace Deviance
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
Honesty‐Humility, one of the six major personality dimensions included in the HEXACO model of personality structure, has previously been found to show negative correlations with workplace deviance. In this study, we hypothesised that Extraversion would moderate the relationship between Honesty‐Humility and workplace deviance. In particular, we posited that the relation between Honesty‐Humility and workplace deviance would be stronger among employees who are high on Extraversion than among those low on Extraversion. The hypothesis was tested using three different samples across Australia, Canada, and the Netherlands. It was found in two of the three samples that high levels of Extraversion did indeed amplify the relationship between (low) Honesty‐Humility and workplace deviance. Results suggest a potentially important role for multiplicative effects of personality variables on workplace criteria.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it