PhilSci Archive

Assessing Measures of Animal Welfare

Browning, Heather (2020) Assessing Measures of Animal Welfare. [Preprint]

[img]
Preview
Text
Browning Assessing Measures of Animal Welfare.pdf

Download (456kB) | Preview

Abstract

When making decisions about action to improve animal lives, it is important that we have accurate estimates of how much animals are suffering under different conditions. The current frameworks for making comparative estimates of suffering all fall along the lines of multiplying numbers of animals used by length of life and amount of suffering experienced. However, the numbers used to quantify suffering are usually generated through unreliable and subjective processes which make them unlikely to be correct. In this paper, I look at how we might apply principled methods from animal welfare science to arrive at more accurate scores, which will then help us in making the best decisions for animals. I argue that a combined use of both a whole-animal measure and a combination measurement framework for assessing welfare will give us the most accurate answers to guide our action.


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

Item Type: Preprint
Creators:
CreatorsEmailORCID
Browning, Heatherheather.browning@anu.edu.au0000-0003-1554-7052
Keywords: animal welfare, measurement, suffering
Subjects: Specific Sciences > Biology
Specific Sciences > Cognitive Science
Specific Sciences > Psychology > Comparative Psychology and Ethology
Specific Sciences > Cognitive Science > Consciousness
Depositing User: Ms Heather Browning
Date Deposited: 05 May 2020 18:11
Last Modified: 05 May 2020 18:11
Item ID: 17144
Subjects: Specific Sciences > Biology
Specific Sciences > Cognitive Science
Specific Sciences > Psychology > Comparative Psychology and Ethology
Specific Sciences > Cognitive Science > Consciousness
Date: 5 May 2020
URI: http://philsci-archive.pitt.edu/id/eprint/17144

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item