Tsou, Jonathan Y. (2025) Hacking on Looping Effects and Kinds of People. [Preprint]
![[img]](https://philsci-archive.pitt.edu/style/images/fileicons/text.png) |
Text
Tsou-2025-Hacking-Monist-Preprint.pdf Download (343kB) |
Abstract
This paper critically examines Ian Hacking’s account of looping effects and human kinds, focusing on three related arguments defended by Hacking: (1) the looping effects of human science classifications render their objects of classification inherently unstable, (2) looping effects preclude the possibility of generating stable projectable inferences (i.e., reliable predictions) based on human kind terms, and (3) looping effects can demarcate human science classifications from natural science classifications. Contra-Hacking, I argue that: (1) some objects of human science classifications (viz., biological kinds) remain stable despite the feedback generated by their classifications, (2), human science classifications that individuate biological kinds yield stable projectable inferences, and (3) looping effects are a problematic criterion for distinguishing human science classifications from natural science classifications.
| Export/Citation: | EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL |
| Social Networking: |
Monthly Views for the past 3 years
Monthly Downloads for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |
![[feed]](http://philsci-archive.pitt.edu/style/images/feed-icon-32x32.png){kind=icon}