“Paid to Endure”: Paid Research Participation,Passivity, and the Goods of Work

A growing literature documents the existence of individuals who make a living by participating in phase I clinical trials for money. Several scholars have noted that the concerns about risks, consent, and exploitation raised by this phenomenon apply to many (other) jobs, too, and therefore proposed improving subject protections by regulating phase I trial participation as work. This article contributes to the debate over this proposal by exploring a largely neglected worry. Unlike most (other) workers, subjects are not paid to produce or achieve anything but to have things done to them. I argue that this passivity is problematic for reasons of distributive justice. Specifically, it fails to enable subjects to realize what Gheaus and Herzog call “the goods of work”—a failure not offset by adequate opportunities to realize these goods outside of the research context. I also consider whether granting subjects worker-type protections would accommodate this concern.     

A rhythm recognition computer program to advocate interactivist perception

This paper advocates the main ideas of the interactive model of representation of Mark Bickhard and the assimilation/accommodation framework of Jean Piaget, through a rhythm recognition demonstration program. Although completely unsupervised, the program progressively learns to recognize more and more complex rhythms struck on the user’s keyboard. It does so without any recording of the input flow, and without any pattern matching in the usual sense. On the contrary, internal processes are dynamically constructed to follow and anticipate the user’s actions. We show that these processes are representations of the rhythms in the interactivist sense, and that they emerge from non representational grounds, avoiding the symbol-grounding problem. They are not copies or transductions of reality, but ideal internal constructions of the agent, avoiding the circularity pointed out by Piaget. In practice, the active nature of this recognition process allows it to work even with noisy and complex input flows.