Visiting Psychodynamic Scholars Enhance Psychodynamic Learning for Psychiatric Residents
Bibliographic record
Abstract
Limited resources in psychodynamic education in psychiatry residency training led the American Academy of Psychodynamic Psychiatry and Psychoanalysis to create The Victor J. Teichner Award. This award funds a psychodynamic scholar to visit a psychiatry residency program to teach residents and faculty over a 2−3-day period. Anonymous online surveys were distributed before and after the visit to 88 residents from three residency programs. In comparing pre-visit and post-visit groups, residents rated themselves as significantly improved in psychodynamic psychotherapy regarding (1) their level of competence (p < 0.005), (2) their ability to listen (p < 0.009), and (3) their ability to make interventions (p < 0.002). In addition, residents in psychodynamically underserved programs expressed strong interest in learning both general and psychodynamic psychotherapy skills despite being in programs they view as predominantly biologically oriented. These findings suggest that brief, intensive programs to enhance psychodynamic teaching are useful in psychiatric education and can result in a significant increase in residents' sense of competence in psychodynamic psychotherapy.
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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 | 0.003 |
| 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 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".