Contributions and Blind Spots of Constructivist Norms Research in International Relations, 1980–2018: A Systematic Evidence and Gap Analysis

The study of international norms from a social constructivist perspective has been one of the major conceptual innovations to the discipline of international relations (IR) over the past forty years. However, despite the concept's ubiquity, there is only a limited understanding of the large-scale trends in research associated with its rise. This analytic essay interrogates conventional wisdom, using a dataset of 7,795 mainstream, English-language journal articles from the Teaching, Research and International Policy Journal Article Database, supplemented with data from Web of Science. How have international norms been studied substantively and methodologically, what are major contributions and blind spots, and which opportunities for future innovation might exist? Although norms research has historically helped expand the scope of issues covered in IR (e.g., gender issues and public health), others have evidence gaps relative to the broader discipline of IR (e.g., terrorism and public opinion). Over the years, the proportion of empirical studies has increased, while purely theoretical, epistemological, and methodological work and innovation have decreased. Despite calls for methodological pluralism, norms research is significantly more qualitative and conceptual than mainstream IR in general and far less multi-method. While more international and less US-based than IR in general, norms research in mainstream journals seems to be no closer to a “Global IR,” measured by regional focus and author affiliation. This suggests three promising avenues for future innovation: greater attention to specific substantive blind spots, more multi-method research, and increased attention to the agenda of Global IR. Beyond these individual insights, this review illustrates the general utility of complementing narrative literature reviews with ones based on quantitative data. It also provides a case study on conceptual proliferation and innovation in IR.

Towards proper evaluation of book publishing in the social sciences

Books are important in the social sciences. Monographs and edited books allow for presenting original research based on methodologies or forms of collaboration that the format of the journal article does not serve as appropriately. Books are also used to engage directly with society. This chapter first introduces book publishing in the social sciences as a diversity of genres, purposes, and audiences. We then limit the scope to peer-reviewed scholarly book publishing and describe how publication patterns differ among the disciplines of the social sciences in the dimensions of books versus journal articles and national versus international publishing. Then we focus on the structure of the scholarly book publishing market with particular attention to developments towards open access publishing. The chapter ends with our suggestions for principles that can guide proper evaluation of book publishing in the social sciences.

Classification of Astrophysics Journal Articles with Machine Learning to Identify Data for NED

The NASA/IPAC Extragalactic Database (NED) is a comprehensive online service that combines fundamental multi-wavelength information for known objects beyond the Milky Way and provides value-added, derived quantities and tools to search and access the data. The contents and relationships between measurements in the database are continuously augmented and revised to stay current with astrophysics literature and new sky surveys. The conventional process of distilling and extracting data from the literature involves human experts to review the journal articles and determine if an article is of extragalactic nature, and if so, what types of data it contains. This is both labor intensive and unsustainable, especially given the ever-increasing number of publications each year. We present here a machine learning (ML) approach developed and integrated into the NED production pipeline to help automate the classification of journal article topics and their data content for inclusion into NED. We show that this ML application can successfully reproduce the classifications of a human expert to an accuracy of over 90% in a fraction of the time it takes a human, allowing us to focus human expertise on tasks that are more difficult to automate.

Diverse Approaches to Creating and Using Causal Loop Diagrams in Public Health Research: Recommendations From a Scoping Review

Objectives: Complex systems thinking methods are increasingly called for and used as analytical lenses in public health research. The use of qualitative system mapping and in particular, causal loop diagrams (CLDs) is described as one promising method or tool. To our knowledge there are no published literature reviews that synthesize public health research regarding how CLDs are created and used.Methods: We conducted a scoping review to address this gap in the public health literature. Inclusion criteria included: 1) focused on public health research, 2) peer reviewed journal article, 3) described and/or created a CLD, and 4) published in English from January 2018 to March 2021. Twenty-three articles were selected from the search strategy.Results: CLDs were described as a new tool and were based upon primary and secondary data, researcher driven and group processes, and numerous data analysis methods and frameworks. Intended uses of CLDs ranged from illustrating complexity to informing policy and practice.Conclusion: From our learnings we propose nine recommendations for building knowledge and skill in creating and using CLDs for future public health research.

Viewpoint: the need to evolve to a service logic mindset in Latin America

Purpose The purpose of this viewpoint is to discuss the need to evolve from a service marketing approach to a service logic mindset throughout the organization in Latin America. In doing so, it addresses a void in the service literature due to the lack of attention on its uniqueness in this region. Design/methodology/approach To confirm the predominant approach of studying service and the need for a paradigm shift in service organizations, two independent journal article searches during 1989–2020 were conducted. The purpose was to learn where Latin American service researchers are focusing their research efforts and to discuss how the meaning of service applies to this region. Findings Forty-eight journal articles were analyzed and six distinctive groups were identified where service researchers are focusing their work on Latin America. Service has been studied mainly from the marketing perspective; with limited original research published in indexed journals; focused on making product-oriented promises, increasingly enabled by technology. The need for developing a service logic mindset throughout the organization has begun to be emphasized rather recently in the field. The variety of meanings of service and the complex context represent challenges for this enterprise. Research limitations/implications Future research is needed to work on a more comprehensive conceptualization of service at higher levels of analysis. Further context studies are required to enrich knowledge on service in Latin America. Service researchers and organizations should work on these two challenges to continue moving from the marketing perspective of service to a service logic mindset throughout the organization. Originality/value The paper points out the relevance of conducting further service research in Latin America, arguing that service has been studied mainly from the marketing perspective, and claiming the need to move to a service logic mindset. This viewpoint opens a discussion in the service research community toward a paradigm shift that, although inspired in Latin America, may not be necessarily limited to this region.

Diversity of Learners: A Study about how Individual Differences Affect the L2 Learning Process

Individual differences are considered one of the main factors in language learning. This article begins by presenting the definition of individual differences and identifying the possible individual differences that may affect the L2 learning process are. Based on the literature review, shows that there are eight (8) major individual differences to be found as salient features in the L2 learning process. A brief overview of these eight (8) individual differences is provided, supported by the literature review of 20 journal articles. This journal article used grounded theory design as a method in identifying the relationship of the following individual differences in the L2 learning process. According to the results, although there is a growth in the study of individual differences that affects the L2 learning process, there is still much work to be done and much more investigation is required.