Case formulation of interpersonal patterns and its impact on the therapeutic process: Introduction to the issue
Bibliographic record
Abstract
Authors included in this issue of the Journal of Clinical Psychology: In-Session come from diverse theoretical orientations but discuss methods of case conceptualization that share these assumptions: (1) that interpersonal patterns are salient to a good understanding of patient personality and problems and (2) that an individual formulation is helpful in responsively tailoring in-session processes to meet therapeutic goals. We believe these assumptions resonate with many practitioners working across settings, levels of severity, and theoretical orientations. Each author offers an overview of theory as well as a detailed case description that emphasizes the implications of each formulation for the subsequent process of therapy. A final paper provides commentary across the source papers. The issue is thus evocative not only about clinical practice issues but also of underlying theory. It speaks to the challenges and possibilities of transtheoretical integrated practice and research within our focal domain of common interest, interpersonal relationships.
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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 | 0.002 | 0.000 |
| 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) | 0.003 | 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".