Book Review: Forensic Psychiatry: Forensic Psychiatry: Influences of Evil
Notice bibliographique
Résumé
Forensic Psychiatry: Influences of Evil Tom Mason, editor. Totowa (NJ): Humana Press; 2006. 387 p. US$99.95. Reviewer rating: Not Reviewed by: J Paul Fedoroff, MD Ottawa, Ontario Ever wonder what source Tom Cruise relied upon when he said, in his now infamous interview with Matt Lauer, that he had studied the history of psychiatry? This book may be it. When I agreed to review Influences of Evil, I had assumed it would be a text about the problems caused by psychiatric patients. It is not. Instead, Influences of Evil largely refers to the nature of psychiatry itself! I am a psychiatrist, but this is why I assigned a not recommended rating. That would be evil. Rather, it is because the book begins with the premise that psychiatry is evil instead of building a case for this dramatic statement. Further, the book describes psychiatry in a way that sets it up for straw-dog arguments. Its style is reminiscent of historic antipsychiatry authors like Michel Foucault and Thomas Szasz, who relied on this technique and are frequently cited with approval in this book. There are 18 chapters, so it is possible to review each in detail. In general, psychiatry is portrayed as synonymous with psychoanalysis, though unscrupulous drug prescription is also criticized. Forensic psychiatry itself fares no better, with the resurrection of Foucault's description of the field as the pathology of the monstrous.p2 Forensic psychiatry is also described as a discipline that has grown alongside the law, and in fact has both a symbiotic and parasitic relationship with it... [and that] needs legislation to capture its clients but sits uneasily at its feet when challenged regarding therapeutic efficacy.p2-3 A few pages later, authors whom the editor calls tried and tested learned men describe psychiatry as an impotent field in which its effects are but one element in the salving of social conscience.p10 A chapter on Institutional Monstrosity explains that forensic settings are evil structures permeated by power relations.p19 Leaving aside the preceding premise, this chapter contains several peculiar comments. For example, patients and prisoners are treated synonymously by these authors and apparently any contact with a prisoner must occur in the presence of a correctional guard.p25 Similarly, it asserts that empathy and attentiveness toward inmates are perceived as feminine characteristics that are strictly forbidden ... a constraint which weighs heavily on nursing staff in general and female nurses in particular.p25 This chapter also ignores the fact that most patients live in the community and that a primary (and so far successful) aim of modern treatment is to increase this number. …
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,063 | 0,055 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».