Bibliographic record
Abstract
The role of hostility in personality disorder (Pd) traits was explored using the Buss-Durkee Hostility Inventory. Stepwise multiple regression analyses were conducted to ascertain the relative contributions of the eight hostility scales. The criterion variables were the personality disorder scales of the Millon Clinical Multiaxial Inventory. The participants were 158 first year male and female university students. The results show that Resentment (covert hostility) explains large proportions of variances in borderline, avoidant, schizotypal, passive-aggressive, obsessive-compulsive, and schizoid disorder traits. Verbal hostility (overt hostility) is associated with antisocial, histrionic, and narcissistic Pd traits. Suspiciousness contributes relatively large variances in paranoid disorder traits, whereas guilt is the dominant aspect of dependent Pd traits. The results are explained with reference to the agreeableness versus antagonism facets of the Five-Factor model of personality and Beck's schema construct.
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.
How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".