PhilSci Archive

The Methodology of Abduction in the Case of the Discovery of the Megatherium

Duarte Calvo, Antonio (2017) The Methodology of Abduction in the Case of the Discovery of the Megatherium. THEORIA. An International Journal for Theory, History and Foundations of Science, 32 (2). pp. 191-209. ISSN 2171-679X

[img]
Preview
Text
Duarte Calvo.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (234kB) | Preview

Abstract

In this article, I analyze the case of the discovery of the megatherium (the first extinct animal reconstructed) from an abductive perspective, paying attention to the process of hypothesis generation and selection of some of the agents involved in this unique event. The analysis shows the importance of certain methodological issues related to scientific rigor in order to propose plausible hypotheses.


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

Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Duarte Calvo, Antonioantduart@ucm.es
Additional Information: ISSN: 0495-4548 (print)
Keywords: abduction, abductive methodology, history of science, megatherium, natural science.
Subjects: General Issues > Confirmation/Induction
General Issues > History of Science Case Studies
General Issues > Theory/Observation
Depositing User: Unnamed user with email theoria@ehu.es
Date Deposited: 20 Jun 2017 14:17
Last Modified: 20 Jun 2017 14:17
Item ID: 13132
Journal or Publication Title: THEORIA. An International Journal for Theory, History and Foundations of Science
Publisher: Euskal Herriko Unibertsitatea / Universidad del País Vasco
Official URL: http://www.ehu.eus/ojs/index.php/THEORIA/article/v...
DOI or Unique Handle: https://doi.org/10.1387/theoria.16162
Subjects: General Issues > Confirmation/Induction
General Issues > History of Science Case Studies
General Issues > Theory/Observation
Date: May 2017
Page Range: pp. 191-209
Volume: 32
Number: 2
ISSN: 2171-679X
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/13132

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Altmetric.com

Actions (login required)

View Item View Item