Bibliographic record
Abstract
The question of impasse in the treatment and strategies utilized and solutions offered by the clinician to resolve them brings us to take an analytical look at factors that constitute critical situations encountered in the clinical setting. What appears crucial is first the necessity to distinguish moments of crisis from moments of impasse. Often, the demand for analysis is based on a moment of crisis in one person's life, a repetitive and prolonged crisis that the person was unable to solve with the usual means of friendly help and awareness or again with other therapeutics available. For others, a situation of impasse presented itself and left the person in a suspended state of his life, in a breakdown of creativity. In this article, in the light of our own psychoanalytical problem, we will distinguish between the crisis of the impasse by situating it in the logic of this particular and decisive stage of a cure of what is castration. We will identify the possibilities of resolution of the crises as well as conditions to envisage and overcome impasse in a constructive way in a psychotic or neurotic subject.
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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.088 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.015 |
| Insufficient payload (model declined to judge) | 0.002 | 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".