Ethos of science

Author(s):  
N.N. Gubanov ◽  
◽  
N.I. Gubanov ◽  
L.G. Cheremnykh ◽  
E.S. Shorikova ◽  
...  
Keyword(s):  
KOME ◽  
2021 ◽  
Vol Online first ◽  
pp. 1-16
Author(s):  
Manuel Goyanes ◽  
Márton Demeter

Pursuing excellence is a legitimate ambition of many scholars worldwide. However, between wishful thinking and real facts lies a great leap that can only be bridged using a myriad of resources. We label these the excellence repertoire. Based on 25 interviews with successful communication scholars, we show the key role of accumulating social, economic, and institutional capital in shaping the excellence repertoire. The study argues that the fetishization of productivity might jeopardize the traditional ethos of science, in a context where research excellence may be disconnected from the quality of education.


1978 ◽  
Vol 48 (3-4) ◽  
pp. 172-196 ◽  
Author(s):  
Nico Steh
Keyword(s):  

1979 ◽  
Vol 12 (4) ◽  
pp. 275-293 ◽  
Author(s):  
Dmitri N. Shalin
Keyword(s):  

2009 ◽  
Vol 37 (3) ◽  
pp. 420-430 ◽  
Author(s):  
Sigrid Fry-Revere ◽  
David Bjorn Malmstrom

There is no doubt that industry-sponsored biomedical research is under the microscope. Unfortunately, this new era of skepticism prematurely rushes in doubts of the ethos of science. Skepticism can lead to positive changes, but only when timely and supported by sound reasoning. Snapshot views and theories, especially those that result in costly new regulations and inefficient policies often do more harm than good. Many critics would have the reader doubt scientific integrity because they believe that the relationship between the pharmaceutical industry and biomedical research poses an unavoidable and dangerous conflict of interest. However, these conflicts are neither unavoidable nor dangerous per se.


2014 ◽  
Vol 28 (3) ◽  
pp. 423-424
Author(s):  
Åshild Slettebø
Keyword(s):  

2021 ◽  
Author(s):  
Eric-Jan Wagenmakers ◽  
Alexandra Sarafoglou ◽  
Sil Aarts ◽  
Casper J Albers ◽  
Johannes Algermissen ◽  
...  

We explore the promise of statistical reform by starting from the assumption that most researchers would endorse Merton's ethos of science as reflected in the four norms of communalism, universalism, disinterestedness, and organized skepticism. Translated to data analysis, these norms imply a need for transparency, a fair acknowledgement of uncertainty, and openness to alternative interpretations. We discuss seven statistical procedures, both old and new, that we believe can positively impact statistical practice in the social and behavioral sciences.


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