La grossesse de l’analyste : Fantasme ou réalité? ou la réalité dépasse-t-elle la fiction?
Bibliographic record
Abstract
This article focuses on the pregnancy of analysts and its impact on the (reality) within analytical treatment. In this situation, the analyst on the one hand is caught between words and action, and on the other hand, begins to realize her pregnancy has an effect on patients, namely through emotional intensification of transference, almost instant awareness of the pregnancy by some, which incidentally sometimes leads to silence in the form of denial or inhibition. The analyst herself, in a transferential reaction, could seek to break the silence, along with the interrelation, while being torn between the "maternal preoccupations" directed toward her child as well as toward her patient. Beyond the study of attitudes or stereotyped themes, this article tries of identify the "transference dynamics" brought on by the issue of an analyst's pregnancy. In conclusion, the analyst's pregnancy, during the course of treatment, appears to distance itself from its event-related qualities and transforms itself into a mix of fantasy and reality, which can be analyzed like a dream or a deep-rooted souvenir.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".