Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Published by
The International Institute of Informatics and Cybernetics


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(A Community of about 40.000.000 Academics)


Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

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Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

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Editorial Peer Review Methodology

Integrating Reviewing Processes


Utilization of Artificial Intelligence by Students in Interdisciplinary Field of Biomedical Engineering
Shigehiro Hashimoto
(pages: 1-5)

Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases
Richard S. Segall
(pages: 6-15)

Beyond Status Quo: Why is Transdisciplinary Communication Instrumental in Innovation?
James Lipuma, Cristo Leon
(pages: 16-20)

How We Can Locate Validatable Foundations of Life Themes
Jeremy Horne
(pages: 21-32)

Bringing Discipline into Transdisciplinary Communications -The ISO 56000 Family of Innovation Standards-
Rick Fernandez, William Swart
(pages: 33-39)

To AI Is Human: How AI Tools with Their Imperfections Enhance Learning
Martin Cwiakala
(pages: 40-46)

Knowledge, Learning and Transdisciplinary Communication in the Evolution of the Contemporary World
Rita Micarelli, Giorgio Pizziolo
(pages: 47-52)

Human Complexity vs. Machine Linearity: Tug-of-War Between Two Realities Coexisting in Precarious Balance
Paolo Barile, Clara Bassano, Paolo Piciocchi
(pages: 53-62)

A Cybernetic Metric Approach to Course Preparation
Russell Jay Hendel
(pages: 63-70)

The Impact of Artificial Intelligence on Education
John Jenq
(pages: 71-76)

Bridging the Gap: Harnessing the Power of Machine Learning and Big Data for Media Research
Li-jing Arthur Chang
(pages: 77-84)

Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use?
Richard S. Segall
(pages: 85-92)

Identification – The Essence of Education
Jeremy Horne
(pages: 93-99)

The Greek-Roman Theatre in the Mediterranean Area
Maria Rosaria D’acierno Canonici Cammino
(pages: 100-108)

Examination of AI and Conventional Teaching Approaches in Cultivating Critical Thinking Skills in High School Students
Luis Castillo
(pages: 109-112)

Thoughts, Labyrinths, and Torii
Maurício Vieira Kritz
(pages: 113-119)

Can Two Human Intelligences (HIs or Noes) and Two Artificial Intelligences (AIs) Get Involved in Interlinguistic Communication? – A Transdisciplinary Quest
Ekaterini Nikolarea
(pages: 120-128)


 

Abstracts

 


ABSTRACT


How “Publish or Perish” Can Become “Publish and Perish” in the Age of Objective Assessment of Scientific Quality

Erzsebet Dani


The point I wish to make is not what we all know: that the methods to assess the quality of research achievement are controversial. I do not wish to call into question the raison d’être of scientometric approach, its methodology or its particular indicators either. Nor am I aiming at coming up with systematic solutions of the contradictions (although I hope to offer some thoughts in that direction later below). Many have called and keep calling attention to the rigid and uniform application of the numerical approach (counting publications), arguing that it is doing injustice to certain areas of science.1 With that as a starting point, this study is intended to serve two purposes. One, in a much sharper tone than generally used in discussions of the topic, I wish to call attention to how extremely harmful the present scientometric practice may be for many scholars and scientists. Two, also partly in support of the former argument, I propose to demonstrate—to the degree of breadth and depth that the size-constraints of this paper make possible—how the crucial contradiction in question at the core of the present practice follows from the myths generated by scientometry itself.

Here is the paradox: it is the mechanical application and overvaluation of the scientometric assessment of research performance, the very objectivity designed to guarantee equal and fair treatment that does, in fact, lead to the devaluation of quality research effort and discourages even kills the will to conduct research in several disciplines. That is to say, the partly true, part-fun proverbial “publish or perish” principle, which urges the research scientist or academic to keep publishing for the sake of career advancement and academic survival, turns into the trap of what we can describe as “publish and perish.” How a well-intentioned and basically most welcome development, scientometry, or rather, its method of application as well as the myths it generated yield the “publish and perish” phenomenon is the subject I will address below.


1 inanimate (physical) natural sciences and mathemathical sciences, animate (life) natural sciences, human- and social sciences

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