The Emergence of Psychodynamic Psychotherapy for Treatment Resistant Patients: Intensive Short-Term Dynamic Psychotherapy
Bibliographic record
Abstract
Intensive short-term dynamic psychotherapy (ISTDP) was developed out of the need for relatively short psychodynamic psychotherapeutic treatment approaches to complex and resistant patient populations so common in public health systems. Based on extensive study of video recordings, Habib Davanloo discovered, and other researchers have validated, some important clinical ingredients that align the therapist with healthy aspects of the patient striving for resolution of chronic neurotic disorders and fragile character structure. In the case of character neurotic highly resistant patients, these approaches including "pressure," "clarification," "challenge to defenses," and "head on collision" can be used in a tailored and properly timed way to help the chronically suffering patient to overcome his or her own resistance and access core drivers of these pathologies. In this article the meta-psychological basis of ISTDP is reviewed and illustrated with an extended case vignette.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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 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".