Child and parent variables associated with treatment response in narcissistic youths: the role of self-blame and shame.
Bibliographic record
Abstract
INTRODUCTION: this retrospective study aimed at exploring the impact of parental and youth narcissism on service utilization and response to psychotherapy. METHOD: thirty-six 9-13 years-old narcissistic youths receiving a combined treatment (psychodynamic psychotherapy + parental counselling) were independently assessed for child pathological narcissism, parental narcissism, child's treatment attitude and psychiatric/ psychosocial services utilization. RESULTS: Parent and child narcissistic characteristics were negatively correlated with the use of OPD services. Child self-blame and lack of empathy predicted a lesser OPD utilization. Child pathological narcissism was significantly correlated with the specific treatment response pattern composed of the set of attitudes consistently observed in psychotherapy with narcissistic youths. Sixty percent of the variance in treatment response was accounted for by four narcissistic characteristics of the child: devaluation of others, avoidance of vulnerability, boredom, and self-blame. Post hoc analyses highlighted the role of the child's self-blame, which mediated the relation between parental narcissism and service use while acting as a moderator in reversing the relation between parent narcissism and treatment response. Relationships between self-blame, shame-proneness and guilt, and limitations of the study are discussed. CONCLUSION: Prospective studies with a larger sample are needed to confirm the association between self-blame and response to treatment in narcissistic youths.
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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 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".