Exploring the boundaries and ontology of Psychiatric Disorders (PDs) using the Homeostatic Property Cluster (HPC) model

Autor: Marco Casali
Přispěvatelé: Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Centre National de la Recherche Scientifique (CNRS)-Université Paris 1 Panthéon-Sorbonne (UP1)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Lato Sensu, revue de la Société de philosophie des sciences
Lato Sensu, revue de la Société de philosophie des sciences, Société de philosophie des sciences, 2021, Théorie et données à l'heure des données massives. Actes du VIIe congrès de la Société de philosophie des sciences 8 (2), pp.15-31. ⟨10.20416/LSRSPS.V8I2⟩
ISSN: 2295-8029
DOI: 10.20416/LSRSPS.V8I2⟩
Popis: International audience; In this article we show that, even though the classification and diagnosis of Psychiatric Disorders (PDs) are performed according to essentialist terms, the psychiatric diagnoses currently employed (i.e., clinical psychiatry) do not actually meet these criteria. Diagnosis is performed operationally. In this paper, we suggest a change of perspective. We reject essentialism relating to PDs and argue for the Homeostatic Property Cluster (HPC) model, which allows a greater insight into the ontology of PDs than the operational perspective. More specifically, we argue that the HPC model allows for a synthesis of continuous and discrete methods of understanding the boundaries between PDs. Finally, we specify in a more general manner, the kind of ontology we deal with when adopting the HPC model, arguing that this model can be viewed as a mirror device, reflecting the ontological features of PDs.
Databáze: OpenAIRE