From measurement to classificatory practice : improving psychiatric classification independently of the opposition between symptom-based and causal approaches

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http://hdl.handle.net/10138/336421

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Basso , A 2021 , ' From measurement to classificatory practice : improving psychiatric classification independently of the opposition between symptom-based and causal approaches ' , European Journal for Philosophy of Science , vol. 11 , no. 4 , 104 . https://doi.org/10.1007/s13194-021-00424-y

Title: From measurement to classificatory practice : improving psychiatric classification independently of the opposition between symptom-based and causal approaches
Author: Basso, Alessandra
Contributor: University of Helsinki, Helsinki Inequality Initiative (INEQ)
Date: 2021
Language: eng
Number of pages: 23
Belongs to series: European Journal for Philosophy of Science
ISSN: 1879-4912
URI: http://hdl.handle.net/10138/336421
Abstract: The article advances a new way of thinking about classifications in general and the classification of mental disorders in particular. By applying insights from measurement practice to the context of classification, I defend a notion of epistemic accuracy that allows one to evaluate and improve classifications by comparing different classifying methods to each other. Progress in classification arises from the mutual development of classification systems and classifying methods. Based on this notion of accuracy, the article illustrates with an example how psychiatric classifications can be improved via circumscribed comparisons of different perspectives on mental disorders, without relying on complete models of their complex aetiology. When applying this strategy, the traditional opposition between symptom-based and causal approaches is of little consequence for making progress in the epistemic accuracy of psychiatric classification.
Subject: 3124 Neurology and psychiatry
611 Philosophy
Philosophy of measurement
Epistemology of classification
Psychiatric representation
Measurement in science
Psychiatric classification
Accuracy of classification
Classification
Classification of mental disorders
RESEARCH DOMAIN CRITERIA
MODELS
NEUROSCIENCE
DISORDERS
FUTURE
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