PhilSci Archive

Academic Superstars: Competent or Lucky?

Heesen, Remco (2017) Academic Superstars: Competent or Lucky? Synthese, 194 (11). pp. 4499-4518. ISSN 0039-7857

This is the latest version of this item.

[img]
Preview
Text
Heesen 2017 Academic Superstars Competent or Lucky Synthese.pdf - Published Version
Available under License Creative Commons Attribution.

Download (530kB) | Preview

Abstract

I show that the social stratification of academic science can arise as a result of academics' preference for reading work of high epistemic value. This is consistent with a view on which academic superstars are highly competent academics, but also with a view on which superstars arise primarily due to luck. I argue that stratification is beneficial if most superstars are competent, but not if most superstars are lucky. I also argue that it is impossible to tell whether most superstars are in fact competent or lucky, or which group a given superstar belongs to, and hence whether stratification is overall beneficial.


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

Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Heesen, Remcor.heesen@lse.ac.uk0000-0003-3823-944X
Additional Information: This paper is published in Synthese under open access.
Keywords: Philosophy of science; Social structure of science; Formal epistemology; Social epistemology; Network formation
Subjects: General Issues > Decision Theory
General Issues > Science and Policy
Depositing User: Remco Heesen
Date Deposited: 04 Jul 2018 21:58
Last Modified: 09 Aug 2023 14:15
Item ID: 14840
Journal or Publication Title: Synthese
Publisher: Springer (Springer Science+Business Media B.V.)
Official URL: http://dx.doi.org/ 10.1007/s11229-016-1146-5
DOI or Unique Handle: https://doi.org/10.1007/s11229-016-1146-5
Subjects: General Issues > Decision Theory
General Issues > Science and Policy
Date: November 2017
Page Range: pp. 4499-4518
Volume: 194
Number: 11
ISSN: 0039-7857
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/14840

Available Versions of this Item

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