Bibliographic record
Abstract
Kernberg's structural interview integrates exploration of elements of personality organization into the standard initial psychiatric evaluation. The structural interview approach, while essential to transference-focused psychotherapy for patients with borderline personality disorder, is not limited to use in that context. Following the model of the structural interview, clinicians ask a series of questions, which elucidate elements of personality pathology, thereby facilitating comprehensive diagnosis, guiding treatment, and informing prognosis. Direct questioning about finances and the clinician's general curiosity about issues related to money, in the context of the structural interview, can be high-yield lines of inquiry. Patients' history with their finances, attitudes about money, and ways questions about finance emerge in the transference around fees and related concerns, can add an important, often overlooked, dimension to the assessment of personality organization and personality disorder pathology. This article proposes the utility of prioritizing questions regarding money, as might be integrated into the structural interview, as a template for a broader recognition of the value of this line of inquiry in a diagnostic assessment process.
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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 | 0.011 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".