PhilSci Archive

Two Kinds of Conceptual Engineering

Veit, Walter and Browning, Heather (2020) Two Kinds of Conceptual Engineering. [Preprint]

[img]
Preview
Text
Two_Kinds_of_Conceptual_Engineering_Preprint.pdf

Download (209kB) | Preview

Abstract

The last decade has seen an explosion of meta-philosophical work on ’conceptual engineering’. Beyond simple analysis of concepts, conceptual engineering allows for evaluation and improvement of concepts according to the purposes to which they will be used. This paper sketches a pluralist account of conceptual engineering and provides a distinction between two different and often conflicting kinds of conceptual engineering: naturalist conceptual engineering (NCE) and moral conceptual engineering (MCE), distinguished not by their methods, but by their roles, functions, and purposes. Using the example of animal welfare, we demonstrate the application of both MCE and NCE and show how the different contexts in which a concept is used can create conflicting demands but also how concordance between these demands can strengthen a concept.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Veit, Walterwrwveit@gmail.com0000-0001-7701-8995
Browning, Heatherheather.browning@anu.edu.au0000-0003-1554-7052
Keywords: conceptual engineering; explication; ameliorative analysis; animal welfare; ethics; naturalism
Subjects: Specific Sciences > Biology
General Issues > Ethical Issues
General Issues > Natural Kinds
Specific Sciences > Psychology
General Issues > Theory Change
General Issues > Values In Science
Depositing User: Dr. Walter Veit
Date Deposited: 15 Jul 2020 03:12
Last Modified: 15 Jul 2020 03:12
Item ID: 17452
Subjects: Specific Sciences > Biology
General Issues > Ethical Issues
General Issues > Natural Kinds
Specific Sciences > Psychology
General Issues > Theory Change
General Issues > Values In Science
Date: 2020
URI: https://philsci-archive.pitt.edu/id/eprint/17452

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item