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J. Intell.
Special Issues
Metascience: The Science of Science
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Metascience: The Science of Science

A special issue of Journal of Intelligence (ISSN 2079-3200).

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 7039

Special Issue Editor

Dr. John Protzko

E-Mail Website
Guest Editor
Department of Psychological Science, Central Connecticut State University, New Britain, CT 06105, USA
Interests: metascience; cognitive development; prejudice; experimental psychology

Special Issue Information

Dear Colleagues,

Metascience represents much more than the replicability of old findings. How scientists use and interpret evidence, inefficiencies in grant/job/publication outcomes, and predictions of researcher trajectories are all examples of metascientific topics. The field of Metascience bridges numerous disciplines, from sociology to scientometrics to psychology. In this Special Issue, we look at metascience from a cognitive perspective. We encourage researchers to think about the broad areas of metascience, including but not limited to consciousness, decision making, and cognitive processing. Research subjects can be scientists themselves, institutions, public behavior, along with classic human subjects. The exciting part of metascience is that it expands our definition of what a research subject can be, as the whole scientific process—lab building, idea generation, study execution, publishing, career trajectories—are the research subjects. This Special Issue will focus on empirical papers in metascience, as it revolves around cognitive psychology and cognition (very broadly defined). Studies may be preregistered studies already implemented, or registered reports for studies not yet run. While we will consider replications of previous effects, they must fit the context of the Special Issue.

Dr. John Protzko
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Intelligence is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • metascience
  • scientometrics
  • cognitive psychology
  • bias
  • cognitive science
  • intelligence

Published Papers (2 papers)

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Research

12 pages, 721 KiB  
Article
Quantity and Quality in Scientific Productivity: The Tilted Funnel Goes Bayesian
by Boris Forthmann and Denis Dumas
J. Intell. 2022, 10(4), 95; https://doi.org/10.3390/jintelligence10040095 - 1 Nov 2022
Cited by 3 | Viewed by 1188
Abstract
The equal odds baseline model of creative scientific productivity proposes that the number of high-quality works depends linearly on the number of total works. In addition, the equal odds baseline implies that the percentage of high-quality works and total number of works are [...] Read more.
The equal odds baseline model of creative scientific productivity proposes that the number of high-quality works depends linearly on the number of total works. In addition, the equal odds baseline implies that the percentage of high-quality works and total number of works are uncorrelated. The tilted funnel hypothesis proposes that the linear regression implied by the equal odds baseline is heteroscedastic with residual variance in the quality of work increasing as a function of quantity. The aim of the current research is to leverage Bayesian statistical modeling of the equal odds baseline. Previous work has examined the tilted funnel by means of frequentist quantile regression, but Bayesian quantile regression based on the asymmetric Laplace model allows for only one conditional quantile at a time. Hence, we propose additional Bayesian methods, including Poisson modeling to study conditional variance as a function of quantity. We use a classical small sample of eminent neurosurgeons, as well as the brms Bayesian R package, to accomplish this work. In addition, we provide open code and data to allow interested researchers to extend our work and utilize the proposed modeling alternatives. Full article
(This article belongs to the Special Issue Metascience: The Science of Science)
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41 pages, 13379 KiB  
Article
Cognitive Linguistics: Analysis of Mapping Knowledge Domains
by Ahmed Alduais, Ammar Al-Khawlani, Shrouq Almaghlouth and Hind Alfadda
J. Intell. 2022, 10(4), 93; https://doi.org/10.3390/jintelligence10040093 - 24 Oct 2022
Cited by 3 | Viewed by 4822
Abstract
Language acquisition, processing, comprehension, and production encompass a complex mechanism. Particularly, the mechanisms by which we make sense of language, including perception, conceptualization, and processing, have been controversial topics among cognitive linguists and researchers in cognitive sciences. Cognitive processes such as attention, thought, [...] Read more.
Language acquisition, processing, comprehension, and production encompass a complex mechanism. Particularly, the mechanisms by which we make sense of language, including perception, conceptualization, and processing, have been controversial topics among cognitive linguists and researchers in cognitive sciences. Cognitive processes such as attention, thought, perception, and memory play a significant role in meaningful human communication. This study aimed to apply the science mapping method to detect and visualize emerging trends and patterns in literature pertaining to cognitive linguistics. In order to accomplish this, eight bibliometric and eight scientometric indicators were used in conjunction with CiteSpace 5.8.R3 and VOSviewer 1.6.18 for scientometric analysis and data visualisation. The data were collected and triangulated from three databases, including 2380 from Scopus, 1732 from WOS, and 9911 from Lens from 1969 to 2022. Among the findings were the visualization of eight bibliometric indicators regarding the knowledge production size of cognitive linguistics based on year, country, university, journal, publisher, research area, authors, and cited documents. Second, we presented scientometric indicators with regard to cognitive linguistics development, including the most important authors in the field, co-citation networks, citation networks, sigma metrics to detect works with potential citation growth, and clusters to group related topics to cognitive linguistics. We conclude the study by emphasizing that cognitive linguistics has evolved from the micro level where it focused on studying cognitive aspects of language in relation to time, language, and modality dimensions, to the macro level, which examines cognitive processes and their relationship to the construction of meaningful communication using both sensation and perception. Full article
(This article belongs to the Special Issue Metascience: The Science of Science)
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