Measuring Grandiose and Vulnerable Narcissism in Adolescents
Bibliographic record
Abstract
The Pathological Narcissism Inventory (PNI) has been widely used with adults. Its vulnerable and grandiose dimensions have been differentially associated with psychopathology and interpersonal difficulties. While the PNI has been used with adolescents, its structure and correlates remain to be investigated. The aim of this study was to examine the psychometric properties of the French PNI for adolescents and its association with indices of dysfunction. A total of 570 adolescents completed the PNI, the Youth Self Reportto assess internalizing and externalizing difficulties, and the Self-Perception Profile for Adolescents to assess self-esteem. Results showed that the first and second-order factor structure of the PNI for adolescents is identical to the one found in adults. Temporal stability at one month was good. Between gender differences, as well as correlations between PNI dimensions, internalizing and externalizing difficulties, and self-esteem further add to the conclusion that the French PNI-A has good psychometric properties. Key words: adolescence, narcissism, measure, french, pathological narcissism inventory
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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 | 0.001 | 0.003 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".