Dynamic‐relational treatment of perfectionism: An illustrative case study
Bibliographic record
Abstract
OBJECTIVE: Perfectionism has been described as a multidimensional core vulnerability factor in various forms of dysfunction and disorders. Recently, we described our empirically supported-dynamic-relational treatment for perfectionism. This treatment integrates psychodynamic and interpersonal principles to reduce perfectionism and symptoms and enhance relationships with others and self by focusing on underlying relational patterns. METHOD: We discuss this approach and present Azure, a 27-year-old woman who completed our group treatment and subsequent individual therapy as a follow-up. RESULTS: Azure underwent a comprehensive psychological pretreatment assessment, the results of which were used to develop a working formulation that guided the group and individual psychotherapy. A description of the formulation and her experience in therapy are discussed and pre- and post-treatment data illustrate changes in Azure's perfectionism and symptoms. CONCLUSIONS: We discuss changes that occurred over the course of treatment.
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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) | 0.001 | 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 | 0.000 |
| 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 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".