The DSM validation method and its decision points: value judgments, metaphysical presuppositions, and validators

This paper offers an analysis of the DSM validation method, focusing on the role that non-empirical factors play in resolving forms of indeterminacy that cannot be settled by validator evidence alone. It begins by reconstructing the historical development and institutionalization of the DSM validation method, showing that although it emerged as an attempt to ground the classification of mental disorders in empirical evidence rather than in a priori preconceptions or contextual influences, it nonetheless came to rely on extra-empirical considerations at several crucial stages and was, in its very design, shaped by them.The paper addresses this tension by drawing on the concept of a decision point developed in the literature on science and values. By identifying a series of decision points that arise both in the application of the validation method to particular diagnostic categories and in the process of designing and developing the method itself, it argues that the incorporation of value judgments and metaphysical presuppositions constitutes a necessary and epistemically pertinent element that enabled the validation method to take shape and, when applied to specific categories, allows the validation process to move beyond its initial stages and reach a determinate conclusion.

Authors

Institutions

Publication Details

Journal
History & Philosophy of the Life Sciences
Published
2026-04-15
DOI
https://doi.org/10.1007/s40656-026-00728-3
Primary Topic
Personality Disorders and Psychopathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The DSM validation method and its decision points: value judgments, metaphysical presuppositions, and validators

Antonio Rodríguez Puente
History & Philosophy of the Life Sciences
Personality Disorders and Psychopathology
article

The DSM validation method and its decision points: value judgments, metaphysical presuppositions, and validators

Antonio Rodríguez Puente
article en

Abstract

This paper offers an analysis of the DSM validation method, focusing on the role that non-empirical factors play in resolving forms of indeterminacy that cannot be settled by validator evidence alone. It begins by reconstructing the historical development and institutionalization of the DSM validation method, showing that although it emerged as an attempt to ground the classification of mental disorders in empirical evidence rather than in a priori preconceptions or contextual influences, it nonetheless came to rely on extra-empirical considerations at several crucial stages and was, in its very design, shaped by them.The paper addresses this tension by drawing on the concept of a decision point developed in the literature on science and values. By identifying a series of decision points that arise both in the application of the validation method to particular diagnostic categories and in the process of designing and developing the method itself, it argues that the incorporation of value judgments and metaphysical presuppositions constitutes a necessary and epistemically pertinent element that enabled the validation method to take shape and, when applied to specific categories, allows the validation process to move beyond its initial stages and reach a determinate conclusion.

History & Philosophy of the Life SciencesVol. 48(2)
Universidad Autónoma Metropolitana (MX)
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Personality Disorders and Psychopathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.