Social Science Literature Research Articles

‘Let me tell you a story’: the politics of macroeconomic models

ABSTRACT Various social science literatures suggest that the general character of macroeconomic models reflects their assumptive base. A more specialist literature in the Weintraub-Boumans-Morgan tradition shows how the mathematics of those models moulds together logical implications of particular starting assumptions, insights from generally accepted theoretical propositions, and professionalised common-sense about how the world works. I go one step further in arguing that a process of narrative moulding operates in tandem with this mathematical moulding. A naming strategy provides the mathematical properties of macroeconomic models with economic labels to create the feeling that they are something more than a merely mathematical structure. A storytelling strategy then informs policy-makers of where the solution to the system of equations positions the outer limits of both political desirability and political possibility. Future dedicated research programmes into the narrative dimensions of macroeconomic models can be expected to shed further light on how theory models can masquerade as policy models and substitute models as surrogate models.

Why now? Questioning the confidence in eco-political experimentation in civil society

In the social sciences literature, experimentation in civil society as in food co-ops, urban gardens, repair cafés, or sharing platforms is widely considered as promising to address mounting socio-ecological problems. But is this confidence justified at a point in time when fundamental change is more urgent than ever? After all, these forms of experimentation have a history that reaches back to the very beginnings of environmentalism. Why should they trigger a comprehensive socio-ecological transformation today, if they have not done so in the past? For academic confidence in transformative change through experimentation to be plausible, at least one of two conditions would have to be fulfilled: either academic accounts plausibly demonstrate that the meanings and functions of present experiments fundamentally differ from those in the past. Or these accounts convincingly show that societal context conditions today are much more favourable for transformative change through experimentation than in the past. To assess whether or to what extent at least one of these conditions is fulfilled, we pursue a comparative analysis of past and present discourses on eco-political experimentation in civil society and a conjunctural analysis of current context conditions for transformative change through experimentation. Our findings suggest that neither the criterion of substantial difference nor that of favourable context conditions is fulfilled. For this reason, the current academic trust in transformative change through experimentation, arguably, remains implausible. Hence, we caution against spreading hope when doubt seems in order, for unwarranted narratives of hope may come with an unintended side-effect: ‘sustaining the unsustainable.'

Regime support in Singapore: from enigma to ‘new normal’

ABSTRACT Singapore is seen as an outlier or abnormal case by political scientists, defying predictions in the social science literature about the causal connection between economic development and democratization. Using data from three different waves of the Asian Barometer Survey (ABS), we found that Singapore’s regime resilience is a product of citizen support for the government’s performance in providing economic welfare, together with positive evaluations of the current regime. But our findings also indicate that the degree to which these factors influence regime resilience has changed over time. What we found suggest that Singapore’s regime resilience cannot be simply reduced to elite repression, or an electorate that has chosen to trade freedom for economic development. The consistent electoral support received by the ruling party in Singapore is the product of a more complex relationship with democracy than just a vote for authoritarianism or prioritizing economic development over democracy.

Computer Vision Models for Image Analysis in Advertising Research

This study introduces computer vision models for image analysis in advertising research. It reviews the literature in social science and computer science and identifies three categories and nine types of image analysis. The study uses these categories and types as a framework to select 12 computer vision models and compare them on their capability, accuracy, availability, and usability. Nine models are single-functional models, and three are multi-functional models; all 12 have been used in advertising research. The study also demonstrates how two models are used to classify a sample of image ads and assess the aesthetic scores of these ads to answer the research question about the relationship between content categories and aesthetic scores in image ads. It outlines several key steps for the use of computer vision models in advertising research and proposes future research directions. The study can serve as a guide to advertising researchers.

Experiences of Digital Transitions in Health and Social Care Services in Later Life: Findings and Reflections from a Collaborative, Interdisciplinary Exploratory Review

Health and social care services are increasingly shaped by the emergence of new digital developments. Research suggests that older adults are less likely to use digital devices and, therefore, risk missing out on essential health and social care services as these become more digital by design. We carried out an exploratory literature review using the terms ‘onboarding’ and ‘offboarding’ within the design, engineering, health, and social science literature to understand how researchers are currently thinking about older adults’ digital service needs, informed by discussions of stakeholder engagement with older adults in Edinburgh to explore their own experiences of digital transitions. The review process was implemented based on the methodology of Arksey and O’Malley for scoping reviews, and the findings were reported according to the PRISMA-ScR checklist. The databases used were Web of Science, PubMed, CINAHL Plus, IEEE Xplore, Engineering Village, PsycINFO, ASSIA and ACM. In total, 18 studies were finally included. Our findings show different interpretations of onboarding across disciplines and a lack of use of offboarding in the design of digital interventions. Additionally, our findings reveal inequalities in digital onboarding, as evidenced by the limited number of studies. Finally, we share a snapshot of our findings, together with reflections on interdisciplinary and collaborative processes.

Could deep-sea mining sustain sustainability? The international seabed authority and the UN 2030 agenda

Madureira et al. (2023)published a timely article about the role of deep-sea mining in sustainable development – UN Agenda 2030. We take the opportunity to join the discussion initiated by the authors and highlight the known challenges in deep-sea mining discussions using rich, empirical social and natural science literature. Our premise is the following: sustainable development depends on careful assessment of pressing, known issues that need attention. Local problems require context-specific, local solutions to make propositions about the future and sustainability unambiguous and workable. Meaningful discussions on sustainability in relation to ocean and terrestrial mining depend on engagement with a broad body of literature, from anthropology to human geography, policy and governance research, among others. In sum, we hope to contribute to a more comprehensive interdisciplinary discussion on the contested topic of deep-sea mining and its role in sustainability.

Issues of Adaptation and Ethnic Struggle of Southeast Asian Migrant Workers in a Foreign Land - Taking Migrant Workers in Taiwan as an Example

This study aims to explore the adaptation process of Southeast Asian migrant workers in Taiwan and the ethnic struggles they face. Utilizing social science observational methods and literature analysis, the research focuses on the complex interactions between migrant workers and the local society, particularly the conflicts and collaborations among different ethnic groups. The findings indicate that Southeast Asian migrant workers, while living in a foreign land, must not only overcome cultural differences and language barriers but also face structural discrimination and exclusion from the local society. These phenomena can be understood through the theoretical frameworks of nationalism and racism. Nationalism emphasizes the impact of national identity on social integration, while racism reveals the existing power inequalities and exclusion mechanisms within society. Additionally, the theory of multicultural formation provides insights into how different ethnic groups interact and coexist in shared spaces. Despite these challenges, migrant workers demonstrate strong adaptive abilities, gradually achieving social integration by establishing community support networks and actively participating in local economic activities. This study aims to provide empirical recommendations for migrant worker policies and social integration strategies to promote the coexistence and development of multiculturalism, as well as to offer a theoretical foundation for future related research. Finally, this paper summarizes the following conclusions and follow-up suggestions: first, "cross-cultural conflict" will make the physical and mental conditions of foreign migrant workers unhealthy, and management measures should be based on "human rights issues" to allow foreign migrant workers to have a certain degree of freedom and development in their right to work and socialize, so enterprises should formulate relevant measures to allow foreign migrant workers to get physical and mental adjustment in a foreign land. to promote more effective communication and cooperation.

Trust Us—We Are the (COVID-19 Misinformation) Experts: A Critical Scoping Review of Expert Meanings of “Misinformation” in the Covid Era

Since the WHO declared COVID-19 a pandemic, prominent social actors and institutions have warned about the threat of misinformation, calling for policy action to address it. However, neither the premises underlying expert claims nor the standards to separate truth from falsehood have been appraised. We conducted a scoping review of the medical and social scientific literature, informed by a critical policy analysis approach, examining what this literature means by misinformation. We searched academic databases and refereed publications, selecting a total of 68 articles for review. Two researchers independently charted the data. Our most salient finding was that verifiability relied largely on the claims of epistemic authorities, albeit only those vetted by the establishment, to the exclusion of independent evidentiary standards or heterodox perspectives. Further, “epistemic authority” did not depend necessarily on subject matter expertise, but largely on a new type of “expertise”: in misinformation itself. Finally, policy solutions to the alleged threat that misinformation poses to democracy and human rights called for suppressing unverified information and debate unmanaged by establishment approved experts, in the name of protecting democracy and rights, contrary to democratic practice and respect for human rights. Notably, we identified no pockets of resistance to these dominant meanings and uses. We assessed the implications of our findings for democratic public policy, and for fundamental rights and freedoms.

Response Satisficing Across Online Data Sources: Effects of Satisficing on Data Quality and Policy-Relevant Results

The use of crowdsourced data has become extremely popular in marketing and public policy research. However, there are concerns about the validity of studies that source data from crowdsourcing platforms such as Amazon Mechanical Turk (MTurk). Using five different online sample sources, including multiple MTurk samples and professionally managed panels, the authors address issues related to online data quality and its effects on results for a policy-based 2 × 2 between-subjects experiment. They show that survey response satisficing, as well as multitasking, is related to attention check performance measures beyond demographic differences, and there are substantial differences across the five different online data sources. The authors specifically identify segments of high and low response satisficers using a multi-item measure and show that there are critical differences in the policy-relevant results of the experiment for these segments of online respondents. Findings suggest implications for concerns about failures to replicate results in the policy and consumer well-being, business, and social science literatures. The authors offer some suggestions for attempting to reduce problematic effects of response satisficing and data quality that are shown to differ substantially across the sample sources examined.

The current practice of latent growth curve modeling in the social and behavioral sciences: Observations and recommendations

We examine recommendations for three key features of latent growth curve models in the structural equation modeling framework. As a basis for the discussion, we review current practice in the social and behavioral sciences literature as found in 441 reports published in the 19 months beginning in January 2019 and compare our findings to extant recommendations. We then provide suggestions for empirical researchers, reviewing the application of these very popular models, specifically focusing on comparison of alternative change models, time metric and interval features implemented, and the treatment of individually varying time intervals.

Creating elite encounters: The ‘campaign’ as approach for interviewing corporate elites

Qualitative research in economic geography recognizes the value of accessing business elite perspectives, yet identifying, approaching and interviewing elites present researchers with a set of challenges. Both practical and ethical, these challenges can be particularly acute for research involving ‘contentious’ firms and sectors – those facing increased societal scrutiny due to histories of labour exploitation, bribery and pollution and where there are often strong asymmetries in social power. This paper proposes a systematic approach for managing these challenges and successfully conducting interviews with business elites that we term an interview ‘campaign’. We propose the interview campaign as a strategic, organized and nimble approach designed to achieve a specific goal – an elite encounter. We show how instrumentalism and strategic ambiguity are central to the campaign, and how both can be harnessed to navigate an environment characterized by uncertainty, serendipity and structured relations of power. Our ‘campaign approach’ systematically breaks down a complex process into manageable parts without losing sight of the whole, via clear goals, strategic planning and critical reflection. The need for evidence-based research on corporate strategic action in relation to a wide range of contemporary economic phenomena suggests the campaign approach may have value across many areas of economic geography, business studies and beyond. The paper draws upon established social science literatures on elite interviewing and political campaigning, and on our own experience conducting interviews with senior executives in the oil and gas industry.

Gender effects and firm financial performance: A SUMAD meta-analysis of social responsibility and family-to-work conflict

The current study uses SUMAD meta-analytic methods (Oh, 2020) to examine gender differences in social responsibility and family-to-work conflict. Synthesizing evidence from across social science literature, the results of this study provide an evidence-based foundation to support more theorizing and practical discourse regarding gender effects in entrepreneurship. As explained by theories of socialization and social roles, gender differences in (a) socially responsible attitudes and behaviors and (b) the balance between family and work responsibilities, are likely two of the more pervasive gender effects that influence entrepreneurial careers. The goal of this study is to motivate more research and practical discussion on these and related gender effects to improve our understanding of entrepreneurship phenomena. Using firm performance as an example, the results of the SUMAD meta-analysis suggest that gender effects related to social responsibility and family-to-work conflict have significant consequences for entrepreneurship outcomes. Based on the evidence and theory rooted in socialization and social roles, the current study calls for more theorizing and primary-level studies on these and related gender effects in entrepreneurship research.Comment to Readers:Does gender matter? Of course it does (depending on the issue). A simple search of “does gender matter” reveals ample discussion on this topic across a variety of gender issues. In this article I highlight gender regarding differences between women and men in social responsibility and family-to-work conflict. As the evidence suggests, gender does indeed matter as women – on average – are more socially responsible and have more family-to-work conflict than their men counterparts. The results of this study show that greater social responsibility is tied to better business performance whereas greater family-to-work conflict is tied to worse business performance. So, what should we do? First, acknowledge the fact that women and men are different in the contexts of social issues and family matters to clear the way for constructive discourse about these gender differences. Second, embrace that women are higher than men in socially responsible attitudes and behaviors, and that more women in business could inherently result in more socially responsible business practices. Moreover, while this is a societal win in and of itself, the results suggest it could also carry over to improved financial and economic performance. Lastly, focus more on “why” there are differences between women and men regarding family-to-work conflict. Specifically, emphasize both societal-driven influences (e.g., stereotypes; biases) and individual-driven influences (e.g., individual differences; personal preferences). Understanding these influences, which are not mutually exclusive, is key for maximizing the personal and professional well-being of both women and men.

Intergenerational mobility in the UK

Abstract Intergenerational mobility is a subject of a large literature in social science. In this commentary, we review existing evidence for the UK and present some new estimates for England using novel administrative and survey data spotlighting some of recent directions in intergenerational mobility research within economics driven by changes in several key trends in the recent decades, as well as growing availability of administrative data.

Investigating Latent Interaction Effects in Multiple-Group Analysis in the Structural Equation Modeling Framework

This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits. Our simulation study results demonstrated the superiority of the Latent Moderated Structural Equations (LMS) approach over the Unconstrained Product Indicator (UPI) method in power and providing more accurate estimates of differences in latent interactions between groups. Utilizing multiple-group analysis on real-world data, we evaluated its efficacy in identifying latent interaction differences between groups. Empirical data analysis did not reveal discrepancies between LMS and UPI in terms of detecting differences in latent interactions between boys and girls, although they indicated varying sizes of differences in interaction effects. The study concludes with recommendations for examining differences in latent interactions and suggests avenues for future research. Our findings aim to deepen the understanding of intricate relationships among variables, group differences, and the moderating effects of latent variables, ultimately facilitating the development of more accurate theoretical models.

Long-term memory on popularity dynamics: insights from the Billboard Hot 100 chart

This study delves into the dynamics of popularity as a crucial aspect of population dynamics, drawing from ecology and social science literature. The focus is on constructing an accurate model for understanding the spread of novelty, memes, and influences within human society, particularly through online platforms such as YouTube, Twitter, and Amazon. Traditional models, based on logistic and similar nonlinear differential equations, have shown limitations in long-term prediction accuracy, partially due to unexplained deviations. Recent research suggests the significance of long-term memory effects on popularity, characterized by a power-law response function, a phenomenon particularly evident in the realm of online mass media. Our research analyzes the Billboard Hot 100 chart, a comprehensive dataset of music popularity spanning several decades, to examine these dynamics. By integrating logistic growth with a power-law decaying long-term memory model, we demonstrate that the trajectory of popularity rankings is predominantly influenced by initial popularity levels and the strength of memory effects. Our findings reveal the pivotal role of long-term memory and the extent of initial popularity in shaping popularity dynamics over time. The study underscores the impact of mass media evolution and the differential effects of spreading mechanisms and accumulated popularity on these dynamics, particularly when long-term memory is a factor. This work contributes to a deeper understanding of the mechanisms driving popularity and its long-term trends in the digital age.

The Co-Parenting Across Family Structures Scale: Replication for Mandarin parents.

Co-parenting, the undertaking of parents working together to raise their children, is well documented as an important consideration of children's adjustment in Western countries, but we know less about the role of co-parenting in other cultures. In China, for example, co-parenting has only recently emerged in the social science literature. This study aimed to examine the cultural sensitivity of the CoPAFS instrument among Chinese Mandarin-speaking parents. CoPAFS is a 27-item survey designed to assess co-parenting across married and unmarried family structures originally developed in English. Data were collected from 729 Chinese-speaking and 348 English-speaking respondents. Factor analyses and confirmatory factor analyses indicated that the overall model fit for the translated co-parenting measure was acceptable in Mandarin. However, the five CoPAFS subscales (trust, respect, communication, acrimony, and value) differed across comparison groups, with communication notable for its lack of endorsement among Chinese couples. Implications of measuring co-parenting within Chinese families are offered.

Data Science in Military Decision-Making: Foci and Gaps

ABSTRACT In contemporary warfare, data science is crucial for the military in achieving information superiority. To gain an overview of the topic, 158 peer-reviewed articles were analysed through a semi-systematic literature review. The proportion of social science literature with a focus on risks of data science implies that policymakers are disproportionally influenced by a pessimistic view on military data science. The perceived risks of data science, however, are hardly addressed in formal science literature. Additionally, when levels of war are taken into account, relatively low attention for the operational level is observed. Literature reflects an emphasis on the tactical level when it comes to opportunities for military data science. On the contrary, studies examining the risks of military data science mostly consider the strategic level. Consequently, domain-specific requirements for military strategic data science may not be expressed. Lacking such applications ultimately leads to suboptimal strategic decisions in today’s warfare.

Group-Based Injustice, but Not Group-Based Economic Inequality, Predicts Political Violence Across 18 African Countries

Political violence causes immense human suffering. Scholars pinpoint economic inequalities between ethnic groups as a major cause of such violence. However, the relationships between group-based inequality, group-based injustice, and political violence are not fully understood. Combining insights from social psychological research on collective action and political science research on civil conflict, we underscore that it is group-based injustice that motivates violence. A perception that one’s group has been treated unfairly tends to produce conflict-related emotions (e.g., anger). By contrast, a mere perception that one’s group is of lower economic status rarely produces such emotions. Furthermore, perceived economic disadvantage negatively relates to perceived political efficacy, which may dissuade engagement in political violence. To assess these arguments, we analyzed attitudes toward, intentions to engage in, and self-reported engagement in political violence, utilizing probability samples from 18 African countries (N > 37,000). We found that measures of group-based perceived injustice, whether controlling or not for group-based economic inequality, predicted all violent outcomes; whereas measures of perceived group-based inequality predicted (negatively) self-reported participation in violence but not the other outcomes. We advance both social psychological and political science literatures, suggesting that group-based injustice and inequality are distinct constructs, relating to political violence via different pathways.

Transferability and Generalization in Qualitative Research

This article examines the development of the concept of transferability in qualitative research and how it is similar to and different from generalization. Transferability is a process of abstraction used to apply information drawn from specific persons, settings, and eras to others that have not been directly studied. The concept of transferability has been minimally discussed in the social science and social work literature. The more widely used term, generalization, is poorly distinguished from transferability. This article explores the development of the concept of transferability in qualitative research, clarifying how it differs from universal generalization. Issues of who makes such transfers are examined. Several methods for conceptualizing transfers are detailed. Some types of generalization identified in the literature seem more accurately described as transfers when conceptualized fully.

Catch uncertainty and recreational fishing attraction: Propositions and future research directions

AbstractWhy do people fish for recreation? Social science literature suggests that both catch (e.g., number or sizes of fish) and non‐catch dimensions (e.g., nature experience, temporary escape) play a role. After reviewing the literature from environmental psychology, neuroscience, anthropology, recreational fisher motivation research as well as popular fishing books, I find that the opposite of catching fish, more specifically the uncertainty of the catch, maybe another, perhaps fundamental force that explains the attraction of the activity to millions of people. There appears to be strong utility in the gaming nature of the activity. This quality may contribute to explain various patterns that are well known, e.g., the overinvestment of time and money by recreational fishers that drastically exceed the market value of fish, the lack of self‐regulation of a local recreational fishery in terms of effort being spent also on low stock sizes, the disutility associated with providing certain catch probability information, diminishing marginal utility return for increasing catch rates, management regulations that make fishing harder than necessary, suboptimal satisfaction despite rising catch rates, and finally the dominance of men among populations of recreational fishers. I present a serious of testable propositions and call for a novel research focus that seeks to better understand what makes catch ambiguity attractive psychologically and emotionally.