Bibliographic record
Abstract
Henri Rey's theory of claustro-agoraphobia is helpful for the understanding of the difficulties that can arise when the frame of treatment is modified in remote analysis or psychoanalytic psychotherapy. The felt intense closeness and the actual distance of remote analysis lend themselves to a defensive position in remote analysis when the patient feels at once trapped in the analysis and yet unable to be without the analysis. I suggest here that such claustro-agoraphobic fears arise particularly at times in the analytic process in which change is imminent. The patient is then confronted with giving up old systems of defence. Moving away and changing to remote analysis can provide a relief in the face of the simultaneous fear of closeness and of distance. With such patients, the two steps of moving away and changing to remote analysis can be seen as an unconscious attack on the frame by a part of the patient that is defending itself against such fears in the face of change. Once the setting has changed in remote psychotherapy, the analyst too can be drawn into the claustro-agoraphobic position in the face of the patient's attacks on the analyst's symbolic thinking and his internal frame.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".