Social Sciences Research Articles

Building social equity and person-centred innovation into the end TB response.

Reducing systemic inequities in testing, access to care, social protection - and in the scientific process - is essential to end TB. Incorporating social science methods and expertise on inequity into the mainstream TB response would help ensure that political commitments to equity move beyond symbolic gestures. We convened a meeting between TB social scientists, people with lived experience, civil society and community members to discuss equity within the global TB response. Here, we propose five means by which a social science lens can strengthen equitable, person-centred responses and reconcile the public health significance of TB with the principles of social justice.

A historical syndemic? The impact of synergistic epidemics of measles and scarlet fever on life expectancy in Victoria, Australia (1860s-1870s).

To explore whether synergistic epidemics of measles and scarlet fever in 1860s-1870s Victoria, Australia could be characterized as syndemics, we apply the methods of Sawchuk, Tripp, and Samakaroon (Social Science & Medicine 2022, 295, 112956) to quantify the impact of each of the two major co-occurring epidemic events (1867, 1875) in terms of life expectancy (LE) changes. Sawchuk et al. posit the presence of a harvesting effect, indicated by a statistically significant increase in LE in the immediate post-epidemic "fallow period", as a criterion for identification of a historical syndemic. We test an alternate hypothesis that the same methods can identify a short-term scarring effect. Using annual age- and cause-specific death statistics and census population data, we constructed abridged period life tables for baseline period, potential syndemic year, and "fallow" year for each of the two periods (1860s and 1870s). We compared LE at birth using Z-tests. We decomposed age-cause-specific mortality according to Arriaga's method to identify age-and cause-specific contributions to LE change. LE was significantly lower than baseline (1864-1865) in 1867 but not in the "fallow" year (1869). LE in 1875 and the 1878 "fallow" year were both significantly below baseline (1871-1873). Age-cause-specific decomposition showed similar patterns for 1867 and 1875 for measles and scarlet fever combined effects. Evidence of a scarring effect following the 1875 measles/scarlet fever combined peak supports the interpretation of this event as a syndemic. We suggest the short-term scarring effect can be a useful additional criterion for identifying historical syndemics.

Analysing influential factors in e-learning technology acceptance for digital learning effectiveness enhancement

This study aims to discover the factors that influence the acceptance of electronic learning media and its effect on the effectiveness of digital instruction. The study involved a learning management system and online tutorials using management system (MS) teams from various faculties at the Universitas Terbuka. These include the Faculty of Economics and Business, the Faculty of Teacher Training and Education, the Faculty of Science and Technology, and the Faculty of Law, Social Sciences, and Political Sciences. also conducted in three regional offices in Ambon, Gorontalo and Makassar, which were selected through purposive sampling. Primary data sources include participant questionnaires and interviews. Analytical methods include correlation and multiple regression analysis, with descriptive statistics used to summarize the dataset. Variable selection involves reliability and validity tests and classical assumption tests like multicollinearity. The F-test demonstrates a statistically significant and beneficial influence of utilizing e-learning media and individual ability, training, and intention to use it for digital learning success. The results of ttests and regression models provide empirical evidence supporting the significant effect of e-learning media and intention to use on the effectiveness of digital learning. However, variables related to training and ability do not show any significant influence.

Development of a science, environment, technology, and society-based learning module to foster critical thinking in elementary students

This study aims to develop a science, environment, technology, and society (SETS)-based learning module to enhance critical thinking skills among elementary school students. Employing a research and development (RD) approach adapting the Borg and Gall model, this module is designed to enrich the learning process of natural and social sciences (IPAS). The research sample involved elementary school students from selected schools, utilizing quantitative methods to measure the module's effectiveness. Validation results showed high scores in content, media, language, and pedagogy, indicating a highly valid module. Practicality tests revealed high practicality from both learners' and educators' perspectives, with average scores above 90. The findings indicate a significant increase in students' critical thinking abilities post-module learning, as measured by pre-test and post-test instruments. Implications of these findings suggest that integrating SETS concepts into IPAS learning can be an effective strategy in enhancing elementary students' critical thinking skills. These findings also offer insights for educational practitioners in designing more interactive and environmentally relevant learning materials.

Once Upon a Time: Storytelling to Connect with Your Patients

Storytelling is a form of communication through which we can help people cope with and reframe Illnesses, treatment, or death by providing meaning and comfort. Engaging patients through storytelling can make medical interactions more effective and meaningful. Doctors can use several strategies to incorporate storytelling into their practice to enhance patient communication. The potential beneficial effects of telling a story have been recognized in many cultures and have received attention from philosophers, social scientists, and medical practitioners. The author discusses how stories can embellish the doctor-patient relationship.

‘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.

SNP analysis of stress-related genes reveals significant correlations with drug addiction in Jordan.

Drug addiction is a complex disorder caused by multiple factors, including environmental and genetic factors. Stress-related genes such as Galanin (GAL) and Oxytocin (OXT) have been linked to the reward pathways that contribute to the development and progression of substance addiction. This study aimed to explore the correlation between several polymorphisms of stress-related genes and drug addiction among Jordanian males. The study included 500 participants, consisting of both healthy controls and drug-addicted Jordanian males. The genetic material and clinical data were collected, and 18 SNPs in four candidate genes were genotyped using the Sequenom MassARRAY® system. Statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 25.0 and the SNPStats website. The study identified a significant correlation between three SNPs of the GAL gene and drug addiction, specifically rs3136544, rs3136541, and rs694066. The study also found that different genotypes of these variants were significantly associated with drug addiction. Furthermore, different haplotypes of the GAL, GALR1, and OXTR polymorphisms were also significantly correlated with drug addiction. The study also identified a correlation between several drug addiction features and the studied variants, including the association of rs2717162 of Galanin receptor 1 (GALR1) with age at use onset and the association of rs3136541 of GAL with the type of substance and number of substances used. Stress-related genes can play a significant role in the development and progression of addiction among the Jordanian population, and further investigations are necessary to understand the underlying mechanisms better and improve future treatment strategies.

Impact of clinical pharmacist on home health care patients in hail region

The primary aim of this research is to assess how the involvement of clinical pharmacists can influence home health care patient’s outcomes, including medication management, adherence to prescribed therapies, and overall patient satisfaction. To achieve this, the study adopted a descriptive and quantitative approach. Data gathered through an electronic questionnaire specifically targeted at home health care patients, totaling 112 individuals, aiming to capture their experiences and perceptions regarding the contributions of clinical pharmacists to their health care. This questionnaire included questions that focus on the effectiveness, accessibility, and patient-centered care provided by clinical pharmacists. The collected data then systematically analyzed using the Statistical Package for the Social Sciences (SPSS) application, allowing for the identification of trends, correlations, and potential areas for improvement in clinical pharmacy services. The study finally concluded that.

Correlation of obesity indices with metabolic syndrome among Igbos in Enugu and their optimal cut-off points

Background: Metabolic syndrome also known as insulin resistance syndrome or Syndrome X, represents an association of risk factors for cardiovascular disease and type 2 diabetes mellitus. Its central diagnostic criteria include obesity, impaired fasting glucose, low HDL-cholesterol; elevated triglycerides levels and high blood pressure. Insulin resistance is believed to be the main cause of Metabolic Syndrome and is connected to the level of visceral or intra-abdominal adipose tissue, which could be assessed either by calculating body mass index or by measuring waist circumference. Objectives: This study aimed at determining the correlation of indices of obesity with metabolic syndrome among Igbos in Enugu and their optimal cut-off points. Method: This was a cross-sectional community-based descriptive survey carried out in Enugu Metropolis involving 469 apparently healthy adult volunteers age range 18-75 screened for metabolic syndrome using the Joint Interim Statement definition. Stratified random sampling technique was used in the selection of participants. The data obtained were coded and analyzed into percentages, mean and standard deviation using the Statistical Package for Social Sciences (SPSS), version 23. t-test was used to compare continuous variables for associations, while Youden index and Receiver Operating Characteristic analysis were used to determine optimal cut-off point of the obesity indices that best balances sensitivity and specificity of the obesity indices. Pearson correlation coefficient was used to examine correlation between obesity indices and cardiovascular risks. Statistical significance is set at p< 0.05 and 95% confidence interval. Result: The study revealed that all indices of obesity showed positive correlation with metabolic syndrome. BMI showed the least strength of correlation while WC is the best discriminator for predicting Metabolic Syndrome however, the optimal cut-off point of the obesity indices differ from the standard cut-off points. Conclusion: All the obesity indices used in the study showed positive correlation with metabolic syndrome however, WC is to be preferred in screening for metabolic syndrome. The optimal cut-off point obtained can be applied specifically for Igbos in Enugu

An introduction to causal discovery

AbstractIn social sciences and economics, causal inference traditionally focuses on assessing the impact of predefined treatments (or interventions) on predefined outcomes, such as the effect of education programs on earnings. Causal discovery, in contrast, aims to uncover causal relationships among multiple variables in a data-driven manner, by investigating statistical associations rather than relying on predefined causal structures. This approach, more common in computer science, seeks to understand causality in an entire system of variables, which can be visualized by causal graphs. This survey provides an introduction to key concepts, algorithms, and applications of causal discovery from the perspectives of economics and social sciences. It covers fundamental concepts like d-separation, causal faithfulness, and Markov equivalence, sketches various algorithms for causal discovery and discusses the back-door and front-door criteria for identifying causal effects. The survey concludes with more specific examples of causal discovery, e.g., for learning all variables that directly affect an outcome of interest and/or testing identification of causal effects in observational data.

A scoping review of robotic technology in hospitality and tourism

Purpose With the disruptive evolution of artificial intelligence (AI), the roles of robotics in hospitality and tourism are shifting rapidly from automatic to emotional works. Although academics have focused on examining robotic applications in hospitality and tourism, concrete images of the different roles of robots are unclear. Thus, this study aims to systematically aggregate and evaluate existing robotic technology-related studies published in Social Science Citation Index-listed hospitality and tourism journals to link the fragmented knowledge and provide an up-to-date overview of robotic technology in hospitality and tourism. Design/methodology/approach This study retrieved 134 robotic technology-related articles and used descriptive and content analyses to analyze the retrieved papers thoroughly. Findings The top keyword identified was service robot. Robotic technologies are categorized into AI-supplemented, AI-generated, robotic technology anthropomorphism (RTA)-facilitated and RTA-mediated. Research limitations/implications Future studies can consider exploring service robots further from the perspectives of suppliers in tourism. A more comprehensive categorization of robotic technologies is also recommended. Originality/value This study contributes to the robotic research realm by providing a holistic view of robotic applications in hospitality and tourism research. This study also attempts to pin down the potential research directions to guide researchers in expanding future studies.

Relationship between Student-Teachers’ Academic Interaction and Academic Self-Esteem in Public Secondary Schools in Nakuru County, Kenya

The learners’ academic self-esteem and academic interaction shape the learning environment of students. The purpose of this study was to examine students’ academic interaction and academic self-esteem relationships in public secondary schools in Nakuru County, Kenya. Correlational research design and both quantitative and qualitative research approaches were used in the study. The population of the study comprised 23,309 that is 11,938 boys and 11,371 girls form three students from 294 public secondary schools in Nakuru County. A total of 29 public secondary schools and 378 form three students were selected using stratified random sampling. The study used purposive sampling to sample 29 class teachers from the selected public secondary schools in Nakuru County. The total sample size for this study was therefore 407 respondents. The study used closed-ended questionnaires to collect data from students and interview schedule to collect data from class teachers. To ensure content validity of the research instruments, the researcher developed questionnaires and an interview schedule in line with the objectives of the study in consultation with experts on counseling and educational foundations. To test the reliability of the questionnaire, a pilot study was done on one secondary school that was not part of the actual study. Cronbach’s Alpha test of internal consistency was established whereby the items had reliability coefficients of 0.871 (for the student-teacher academic interactions tool) and 0.873 (for student academic self-esteem tool) which were considered acceptable. Quantitative data was analyzed using the Statistical Package for Social Sciences (SPSS) version 24 while qualitative data was analyzed using NVivo version 12. The study established that there was a statistically significant relationship between student-teachers’ academic interaction and academic self-esteem in public secondary schools in Nakuru County, Kenya. The study recommends Kenyan teachers training institutions to advance teaching methods that seeks to improve student-teachers’ academic interaction and academic self-esteem for better academic achievement.

A Comparative Study on ERNIE Bot 4.0 Turbo and ChatGPT 4o’s Performance in Evaluating First-Year Undergraduate Persuasive Essays

This study compares the performance of two prominent AI language models, ERNIE Bot 4.0 Turbo and ChatGPT 4o, in evaluating first-year undergraduate persuasive essays within the social sciences domain. Drawing from the Louvain Corpus of Native English Essays, a comprehensive collection of academic writings by British and American university students, this study aims to examine the models’ capabilities in assessing the grammatical correctness, vocabulary usage, coherence, content depth, and writing style of the essays. This study adopts a structured evaluation framework based on IELTS writing criteria to assess the models’ performance. A 40 persuasive essays from the Louvain Corpus were evaluated by both AI models and compared with human raters’ evaluations to ensure validity. The findings reveal distinct differences in the assessment styles of the two models. ChatGPT 4o exhibits a more critical approach, pinpointing areas for improvement, such as lack of argument development, coherence issues, and grammatical errors. Conversely, ERNIE Bot 4.0 Turbo offers a more balanced assessment, acknowledging essays’ strengths and suggesting improvement areas. Notably, ERNIE Bot’s evaluation highlights potential biases in AI-based assessment systems, particularly in its unequal emphasis on viewpoints. This comparative examination offers valuable perspectives on the advantages and constraints of AI models in assessing scholarly compositions, underscoring the significance of amalgamating varied AI functionalities to establish more all-inclusive and efficient feedback systems for learners. By understanding these differences, researchers and educators can better utilize AI-assisted essay evaluation systems to enhance student learning experiences.

Infodemic management in higher education: Mapping opportunities at the University of Belgrade

Abstract Background Effective infodemic management (IM) requires a multidisciplinary approach and the use of various skills originating from natural, social, and medical sciences. Personnel involved in IM activities have diverse backgrounds from medical doctors and data scientists to communication specialists and journalists. However, the IM framework is rarely introduced into the existing teaching programs, compromising the training of a competent workforce. Objectives Our goal was to identify opportunities for integrating the IM framework into the existing teaching programs at the University of Belgrade. A team of researchers reviewed the curricula of 31 faculty and identified the courses that already covered IM skills or had the potential to include them in their teaching programs. The research was conducted as part of the U.S. Federal Assistance Award within the University Partnership Program between Emory University and the University of Belgrade. Results After conducting independent reviews and reaching a consensus, over 40 different courses and/or teaching programs have been identified to include or could potentially integrate IM skills and competencies. These courses are found across all major academic clusters (natural sciences and mathematics, technology and engineering, medical sciences, social sciences, and humanities). Faculties of medicine, pharmacy, and dentistry lead with the number of courses and interested teaching staff, followed by social sciences (psychology, sociology, political science). Most of the identified courses are related to information, data science, and communications. Conclusions There is a promising opportunity to introduce IM skills into the current teaching programs at the University of Belgrade. Faculties from the medical sciences group have a solid potential to lead such a process. Collaborative efforts are needed to establish comprehensive teaching programs to ensure a competent public health workforce and certification. Key messages • University of Belgrade has the potential to introduce infodemic management skills into its existing teaching programs, respecting the multidisciplinary nature of this discipline. • Medical and social sciences faculties can lead the process of mainstreaming infodemic management in their curricula, ensuring a competent public health workforce and certification.

Credible, Competent Contributors: Children and Young People as Postdigital Citizen Social Scientists

AbstractI argue that participatory action research (PAR) is a valuable means by which to advance citizen social science, not by researching with and on adults, but with children and young people (CYP). Given the right opportunities, using child-friendly and child-centred research methods, CYP can be credible, competent contributors to social science, including the digital environment. The foundational goals of PAR are empowerment, transformation, and enfranchisement of the traditionally marginalised, and none are more universally and structurally marginalised than CYP. Using a child rights argument, I explain why CYP continue to be excluded from research and why there is still so much scepticism that CYP are credible contributors. One reason is childism, a system of oppression, prejudice, and discrimination against CYP on account of their perceived status as not yet human and not fully rational beings. Childism entails the belief that adults are automatically superior to children. I argue further that CYP’s participation in postdigital social science research enacts the entitlements in Convention on the Rights of the Child (CRC), even though state parties, having ratified this landmark convention, find it very challenging to do more than simply laud its aims. Using three case studies of CYP’s contribution to research and human rights activism, I make the case that they are expert knowers of their own social and digital experiences and have the skills and insights to examine their social worlds in ways that adult researchers too easily overlook, downplay, or simply ignore. As importantly is that CYP are expert users of digital and social media. Their epistemic and ontological experiences as users, creators, contributors, and disseminators of content, and as targets of malign actors, must be included in any research, policy, or law.

A behavioural perspective on pandemic preparedness

Abstract Driven by lessons learned from the COVID-19 pandemic, the RIVM Behavioural Unit is working on the preparedness of social and behavioural sciences. This includes establishing and maintaining a stakeholder network and a knowledge base on pandemic preparedness and behaviour. Using the socio-ecological model and the emergency management cycle, we propose a conceptual framework for a behavioural perspective on pandemic preparedness. The multilevel (individual, community, organisational, national and supra-national), time-dependent (cold, acute, recovery phase) structure of the framework can be helpful in explicating who has to do what, when. In addition, to explain and understand what different actors require for those behaviours prior to or during a pandemic, we propose an adapted version of the COM-B model (Michie et al., 2011), including determinants of behaviour related to motivation, capabilities and opportunities. Based on these frameworks, various monitoring tools are developed. Here we present the Pandemic Preparedness and Behaviour (PPb) survey aimed at cold phase monitoring behaviour on an individual level (i.e. hygiene behaviours, social activity, preparedness behaviours) and their determinants. With this survey we will obtain baseline measurements ahead of a possible future pandemic and will have developed the appropriate tools to be used in a hot phase for as much as possible. In addition, results on cold phase determinants can help to identify where communities, organisations and governments can provide support to improve pandemic preparedness. In this presentation, the proposed conceptual framework and the PPb survey will be discussed, together with their relevance for preparedness of the social and behavioural sciences.

Taking Law Seriously: The Challenges of Law as Research Data in Socio-legal Scholarship

‘Law-as-data’ is often understood in terms of computational data. This article reframes it around a research-centred notion of data, broadening the methodological possibilities available to empirical legal research. This approach transcends the qualitative/quantitative divide, identifying common challenges that arise when law is treated as research data. Methodological tools from the social sciences and examples from recently published socio-legal scholarship are used to demonstrate how law presents unique challenges at the stages of conceptualisation, operationalisation and coding. These challenges stem from factors such as the non-commensurability of legal texts, the fluidity and contested meaning of legal notions, the difficulty of systematically gathering legal data and the risk of bias towards data-driven research rather than law- or reality-centred inquiry. However, strategies and best practices can be developed to address or mitigate these risks. Legal academics are particularly well suited to this task, given the high level of expertise required to effectively leverage law as research data. The article argues that a true methodological naturalisation of law as research data, which embraces the unique characteristics and limitations of law as a data source, would greatly benefit legal studies by diversifying its methodological toolbox while preserving its specificities.

Comparative Historical Analysis in Political Theory

AbstractTwo important methodological debates in political theory concern (i) the place of historical research and interpretation in normative inquiry; and (ii) the importance of comparing different cultural traditions of political thought. The first question animates a long-standing controversy over the relative importance of ‘history of political thought’ versus ‘philosophy’ in political theory, while the second has been central to the recent growth of ‘comparative political theory’. Despite both debates being concerned, in fundamental ways, with history and comparison, they have remained surprisingly disconnected from broader debates in the humanities and social sciences about the use of comparative history and, in particular, of the prominent methodological approach in political science known as ‘comparative historical analysis’. This may reflect the fact that the debates over history of political thought and comparative political theory have fundamentally revolved around thought—history as the history of thought and comparison as the comparison of thought—whereas comparative historical analysis is more centrally focused on the study of political behaviour. In this paper I suggest that this neglect of comparative historical analysis in political theory represents a missed opportunity. Like other forms of social scientific inquiry, comparative historical analysis can yield important empirical knowledge for political theorists. But I wish to more ambitiously suggest that comparative historical analysis can also be adapted for conducting normative political theory itself. I summarise the key features of comparative historical analysis for political theorists, and explain how its use of historical cases can supplement both the use of imaginary thought experiments and the study of contemporary politics. I then delineate three specific ways in which comparative historical analysis might be used to support normative inquiry: deductive testing, inductive construction, and casuistic elaboration. All three, I argue, can help meet recent calls to bring the study of real political behaviour more centrally into political theory research.

Pragmatic ontology—Enhancing the philosophical foundation for critical systems thinking/practice

AbstractA sound theoretical foundation for multimethodology should be consistent across the main branches of philosophy: ontological heterogeneity, epistemological plurality and methodological multiplicity. In this light, I posit that (1) Jackson's recent embracement of pragmatism lacks a critical element: a well‐formulated ontology; (2) to overcome this shortcoming, it is necessary to bring ontology back into critical systems thinking/practice; and (3) such an urgent task has further to overcome the current indifference in systems thinking toward ontology. I shall draw intellectual insights from Quine's ‘ontological commitment’, Habermas's ‘ontological presupposition’, Xu Changfu's ‘theory of heterogeneity’, Husserl's ‘ontology layers’, Gadamer's hermeneutic notions ‘prejudice’ and ‘tradition’, as well as ‘ontology building’ practice across the natural and social sciences. I shall also use a multimethodology approach wuli–shili–renli (WSR) as an example to illustrate the working and evolving of pragmatic ontology.

Bringing back the tribe: why we should not abandon the study of tribes in the Arab world

Once broadly applied, the term “tribe” has been discredited and is now rarely used in the social sciences. Critics argue that the concept is vague, is evocative of primitive and backwards connotations, and has been inappropriately applied to societies that are not “tribal.” While these criticisms are well-founded and legitimate, I argue in this Perspective piece that we must not abandon the study of tribes in the Arab world. The concept of “tribe” continues to be salient for Arab citizens and one that they aptly assign to themselves. To address criticisms of previous studies, I offer three ways to reform scholarly pursuit on tribes: (1) adopting a thin conception of tribe (2) treating the concept as a dynamic not static unit and (3) being led by on-the-ground reality and not by theoretical biases regarding the applicability of this term.