Diagnosable individuals, caregivers, and clinicians typically embrace a biological conception of attention-deficit/hyperactivity disorder (ADHD), finding that medical treatment is beneficial. Scientists study ADHD phenomenology, interventions to ease symptoms, and underlying mechanisms, often with an aim of helping diagnosed people. Yet current understanding of ADHD, jointly influenced by science and society, has an unintended downside. Scientific and social influences have embedded negative values in the ADHD concept, and have simultaneously dichotomized ADHD diagnosable from non-diagnosable individuals. In social settings insistent on certain (...) types of success, the negative values associated with the diagnostic category are attributed to people in the dichotomized "ADHD" group. Devaluation, institutional restrictions on "success" definitions and endpoints, and limited options for achieving success jointly constitute institutionalized intolerance of ADHD. (shrink)

Medical classification systems aim to provide a manageable taxonomy for sorting diagnoses into their proper classes. The question, this paper wants to critically examine, is how to correctly systematise diseases within classification systems that are applied in a variety of different settings. ICD and DSM , the two major classification systems in medicine and psychiatry, will be the main subjects of this paper; however, the arguments are not restricted to these classification systems but point out general methodological and epistemological challenges (...) of classifying diseases for differing purposes. Deciding what qualifies as a disease to be included into a classification system as well as choosing a specific validator for correctly systematising diseases is complicated because the broad applicability of medical classification systems simultaneously appears as aim and challenge. Drawing upon the case study of classifying Alzheimer’s disease, this paper will address three dilemmas in designing ‘good’ medical classification systems. They are due to general epistemological problems of medicine, such as the relationship between individual manifestations of diseases and the necessity of building groups in order to scientifically elucidate causes of diseases. Moreover, they involve pragmatic issues of designing usable classifications that allow for easily discriminating between classes of diseases, restricting, however, the completeness of disease representations. This paper wants to trace how the choice of certain validators is unavoidably value-laden and deeply intertwined with epistemological assumptions of how different uses relate to each other, resulting either in a prioritisation of (constrained) coherence or of (vague) pluralistic connectibility. (shrink)

Much of the literature on values in science is limited in its perspective because it focuses on the role of values in individual scientists’ decision making, thereby ignoring the context of scientific collaboration. I examine the epistemic structure of scientific collaboration and argue that it gives rise to two arguments showing that moral and social values can legitimately play a role in scientists’ decision to accept something as scientific knowledge. In the case of scientific collaboration some moral and social values (...) are properly understood to be extrinsic epistemic values, that is, values that promote the attainment of scientific knowledge. (shrink)