Bibliographic record
Abstract
Soteria House is an alternative treatment resource offering an approach very different from that of the hospital milieu. The staff is non-professional and the residents are treated without neuroleptics. They are permitted to experience their "fragmentation" and their "psychotic break" while providing them with what they say they need, and with as little as possible interference with the expression of these needs. Our personal experience, as a member of staff, and of life with the residents of Soteria House, gave us the opportunity to inspect this approach and to confront the currently espoused belief about psychotics which hold that they are irresponsible and incomprehensible, and require a closed, highly professionalized treatment milieu, and the use of neuroleptics. Soteria House challenges the traditional treatment forms, just as much as the treatment provides themselves and their tools. The Soteria approach does not represent a miracle treatment, but rather a new way of considering the occurrence of rupture, that is to say " a potential experience of positive and constructive growth which allows the person to better face the demands of life" (L. Mosher). It is therefore necessary that this experience (psychotic) not be prematurely aborted by psycho-biological or chemical intrusion which act to straitjacket this evolution.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.351 | 0.046 |
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".