“If those tears could talk, what would they say?” Multi-method analysis of a corrective experience in brief dynamic therapy
Bibliographic record
Abstract
We analyzed master theorist/therapist Hanna Levenson's six-session work with "Ann" in American Psychological Association's Theories of Psychotherapy video series to determine if and how this client had a corrective experience in Brief Dynamic Therapy. First, we identified indicators of a corrective experience in the therapist's and client's own words. Complementing this analysis, we used observational coding to identify, moment by moment, narrative-emotion markers of shifts in Ann's "same old story"; the frequency, type, and depth of immediacy; and the client's and therapist's behavioral contributions to the working alliance. Additionally, we qualitatively analyzed Levenson's session-by-session accounts of the therapy from two sources. Convergent evidence from these multi-method analyses suggested how the intertwined relational and technical change processes seemed to bring about this client's corrective experience. Through consistent attention to the alliance and increasingly deep immediacy, Levenson created a safe space for Ann to "bring down the wall"-by allowing herself to cry and be deeply understood and cared for in a way that she had never before experienced. Concurrently, Ann began seeing herself quite differently, signified by self-identity narrative change. Then, following Session 4, she took Levenson's suggestion to risk behaving more authentically with a friend and with her romantic partner.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".