From Persecution to Depression: A Case of Chronic Depression—Associating the Rorschach, the TAT, and Winnicott
Bibliographic record
Abstract
In this article, I discuss a case study of a patient with depression, paranoid ideation, and other psychiatric difficulties who presented in a state of acute crisis. I review the Swiss Lausanne model of Rorschach and Thematic Apperception Test (TAT) interpretation, focusing on a psychoanalytic understanding of special contents and verbalizations. I then present a review of Comprehensive System (Exner, 2003) Structural Summary variables based on a modified Rorschach administration, while qualifying the meanings of these variables in light of the modified procedure. I conclude with a review of Winnicott's (1969) ideas on the paranoid potential, tie it to the main points of the case, and offer a 5-year follow-up of the patient's treatment. The case offers an approach to personality assessment that is informed by an international theory built on psychology and philosophy, and offers support for the use of an alternative theory-based, psychoanalytic method of data analysis.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| 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".