Metacognitive Interpersonal Group Therapy for Adolescents With Emerging Personality Disorders: The Case of Nora
Bibliographic record
Abstract
An increasing number of adolescents attending child and adolescent mental health services present symptoms consistent with an emerging personality disorder (PD). Early identification and intervention are critical to preventing the devastating progression of symptoms, reducing the duration of untreated disorders, and supporting the recovery, development, and future quality of life of these individuals. The primary aim of this paper is to introduce a group therapy proposal designed for the entire spectrum of adolescent PDs: Metacognitive Interpersonal Group Therapy for Adolescents (MIT-GA). MIT-GA is a profoundly experiential interpersonal psychotherapy aimed at promoting the progressive growth of awareness and regulation of mental states, that is metacognition, and so alleviating symptoms and interpersonal problems. The paper first outlines the core principles of the treatment, its general structure, and session content. Next, it illustrates the therapeutic methodology through the case of Nora, a 16-year-old adolescent suffering from emerging, moderate PD with mixed features, primarily dependent and borderline. To evaluate the therapy's impact, quantitative and qualitative results are presented before and after the treatment, as well as 6 months post-therapy, focusing on symptomatology, interpersonal functioning, and overall functioning. Finally, the paper offers reflections on working with PDs, and discusses the advantages and challenges of MIT-GA.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".