La ecuación personal del analista en el psicoanálisis con pacientes perversos
Bibliographic record
Abstract
Mi intervencion en este Panel,* dedicada a explorar como interviene la ecuacion personal del analista en el psicoanalisis con pacientes perversos, tendra como telon de fondo mis ponencias en los Paneles sobre Perversion en el – frustrado – IPACongress de Toronto del 2001 (Rodolfo Moguillansky, 2001 b) y en el IPACongress de Rio de Janeiro del 2005 (Rodolfo Moguillansky, 2005). En aquellos textos –que siguen una linea conductora en la que vengo escribiendo hace anos (Moguillansky, R. et al, 1991; Moguillansky, R., 1999; Moguillansky, R, 2001 b; Moguillansky, R, 2005)–, planteaba que la perversion es una entidad per se, con peculiaridades en la construccion de la fantasia –fundadas en la escision del Yo y la desmentida de la castracion–1 que explican en
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.030 | 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; both teacher heads agree on what is shown here.
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".