Assessing measures of animal welfare
Assessing measures of animal welfare
There are many decision contexts in which we require accurate information on animal welfare, in ethics, management, and policy. Unfortunately, many of the methods currently used for estimating animal welfare in these contexts are subjective and unreliable, and thus unlikely to be accurate. 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 construct and apply a framework of desiderata for welfare measures, to assess the best of the currently available methods and 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.
Browning, Heather
8d13aa04-7648-4403-b29c-11f7674f6618
12 August 2022
Browning, Heather
8d13aa04-7648-4403-b29c-11f7674f6618
Abstract
There are many decision contexts in which we require accurate information on animal welfare, in ethics, management, and policy. Unfortunately, many of the methods currently used for estimating animal welfare in these contexts are subjective and unreliable, and thus unlikely to be accurate. 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 construct and apply a framework of desiderata for welfare measures, to assess the best of the currently available methods and 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.
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Accepted/In Press date: 9 June 2022
Published date: 12 August 2022
Identifiers
Local EPrints ID: 475385
URI: http://eprints.soton.ac.uk/id/eprint/475385
ISSN: 0169-3867
PURE UUID: 6372dbfe-5576-4af1-871d-4098b1d4c470
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Date deposited: 16 Mar 2023 18:03
Last modified: 17 Mar 2024 04:15
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Author:
Heather Browning
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