The Scholarly Age—Beyond the Academic Age Using Techno-Scientific, Knowledge Appropriation and Mentoring Outputs

Julián D. Cortés, Nicolás Robinson-García, Zaida Chinchilla-Rodríguez, María Catalina Ramírez-Cajiao

Research output: Chapter in Book/ReportConference contribution

Abstract

Various aspects of academic careers are studied using academic age as a proxy for the chronological age. The limitation of this metric is that it does not consider a wide range of scientific workforce outputs, since it only focuses on scientific publications. This study aims to extend understanding of the scientific workforce by amplifying the computation of academic age to include the scholarly age which considers different knowledge outputs from scientific publications. Using data from Colciencias/Ministry of Science Technology and Innovation's national research group assessments in Colombia, we analyzed 1,318,799 unique products from 1990–2020. We computed four typologies of scholarly age based on four products classes: new knowledge; technological development and innovation; social appropriation of knowledge and dissemination of science; and training human resources. The Shapiro-Wilk test shows a non-normal distribution of scholarly ages. The median scholarly age of social appropriation of knowledge and dissemination of science was 8 years; training human resources 7 years; new knowledge 5 years; and technological development and innovation 1 year. Statistically significant differences and large effect size, η2=.27, were found between all scholarly age typologies through Kruskal-Wallis and post-hoc Dunn tests. It reveals that estimating a researcher's expertise based on scientific publication alone is a partial and different proxy compared to the diverse spectrum of scholarly activities and further know-how researchers may possess.

Original languageEnglish (US)
Title of host publicationWisdom, Well-Being, Win-Win - 19th International Conference, iConference 2024, Proceedings
EditorsIsaac Sserwanga, Hideo Joho, Jie Ma, Preben Hansen, Dan Wu, Masanori Koizumi, Anne J. Gilliland
PublisherSpringer Science and Business Media Deutschland GmbH
Pages321-330
Number of pages10
ISBN (Print)9783031578496
DOIs
StatePublished - 2024
Event19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024 - Changchun, China
Duration: Apr 15 2024Apr 26 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14596 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024
Country/TerritoryChina
CityChangchun
Period4/15/244/26/24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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