Bibliographic record
Abstract
This paper intends to examine, both from a psychopathological and a phenomenological perspective, the state of “being-at-the-world”, which is common in drug addicted people. Past abuse, as well as present abuse, are crucial in the modification of the psychiatric impact in the history of drug abuse. The former drug lifestyle characterized by the use of heroin led to a form of psychosis which is known with the symptomatological expression as basic psychosis. On the other hand, the contemporary poly-abuse of NPS (novel psychoactive substances) leads to what is called a synthetic psychosis: a very rich paraphrenic state with continuous hallucinations caused by a mental automatism syndrome and secondary (interpretative) delusions. From a phenomenological point of view, all addictions lead to the final collapse of the Dasein structure (the constitution of the Being-at-the-world-with-others). Subsequent to having travelled down many different psychopathological pathways, many addicts remain without the spatial-temporal “here and now” dimension. This makes it impossible for them to stay in a space-with-others and to project themselves in time. The result of this time/space cleavage is emptiness. It is very difficult to treat this existential situation, which is characterized by patients frequently dropping out of conventional treatment, the loss of the being-at-the-world structure, boredom, emptiness, dread, anger, lack of meaning, loneliness, and isolation. In this paper Dasein Group-Analysis (an original interpretation and application of Binswanger’s Dasein-Analysis) is proposed and discussed. Unlike Dasein-Analysis, this approach applies phenomenology beyond the classic pair of analyst and patient, to a group of people made up of doctors and patients, in which everyone is simply a human being at the world. If the psychopathological and therapeutical approaches prove to be ineffective, the frequent consequences are: the patient’s admission into a psychiatric hospital; his/her arrest for crimes related to antisocial behaviour; a worsening of their psychopathology and addiction; a diffusion of infective diseases commonly found in addicts; more frequent overdoses; aggressive behaviour; legal problems; an increase in the costs of public health system and, finally, even the suicide of the patient.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".