Five‐factor model trait profiles of narcissistic grandiosity and narcissistic vulnerability in Iranian university students
Bibliographic record
Abstract
This study examined the relationship between pathological narcissism, narcissistic grandiosity, narcissistic vulnerability and the five-factor model of personality. Participants consisted of 290 undergraduate students from four universities in three different cities in Iran, recruited by available sampling, Instruments, including, Pathological Narcissism Inventory (PNI) and the NEO Five-Factor Inventory (NEO-FFI) were also completed for the participants. Hierarchical regression analysis showed that narcissistic grandiosity was positively associated with extraversion and openness, while narcissistic vulnerability and overall pathological narcissism were positively associated with neuroticism and negatively related to agreeableness and openness (only for narcissistic vulnerability). The results are consistent with prior research in Western cultures (e.g., United States, Germany) and revealed that neuroticism is a common factor in narcissistic vulnerability and pathological narcissism which suggested pathological narcissism may be a distinct dimension from normal narcissism. Also, there were various contributors of personality traits for narcissistic grandiosity and narcissistic vulnerability which can be considered as a support for the distinction of two phenotypes of pathological narcissism.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".