Developing a Systematic Procedure for the Assessment of Self-Defining Memories in Psychodynamic Therapy: Promise and Pitfalls
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Bibliographic record
Abstract
The innovative approach to assessing autobiographical memory narratives that Singer and Bonalume (2010) demonstrate in their case study of Cynthia is an ambitious expression of integrative psychotherapy research. It brings together the rich research findings on self-defining memories derived from laboratory studies and therapy case analyses, and applies these to the multimodal assessment situation in a psychotherapy program. Further, Singer and Bonalume's case of Cynthia is grounded in a truly "common factor" that is essential to most if not all psychotherapies: patient narrative expression. However, the integration of findings across different research studies still needs further elaboration to clarify and explore when they are consistent and when they are inconsistent with one another. In our commentary we critically assess the following issues associated with Singer and Bonalume's narrative memory coding system and its application to the case of Cynthia: (a) the utilization of narrative analyses for the identification of themes; (b) challenges inherent in establishing criteria for the identification of clinically important autobiographical memory narratives in therapy sessions; (c) the degree of integrative processing that takes place in narrative expression; and (d) the process of formulating inferences based on client narrative expression in assessment interviews versus therapy sessions. The commentary concludes with a discussion of promising future directions for narrative research in psychotherapy.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it