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The objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management.

Employing a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control.

ChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels.

This study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.

This study builds on previous theoretical work that considered artificial intelligence (AI) and its potential for creating “teacher-centaurs” whose labor could be accelerated through the use of generative AI (Fassbender, in review). The purpose of this paper is to use empirical methods to study centaur teachers and the division of labor (Durkheim, 1893/2013) that arise from outsourcing teaching tasks to AI.

Multiple case study (Stake, 2006) was used to collect data on two secondary English teachers who were early adopters of generative AI. Data included semi-structured interviews as well as ChatGPT chat logs, which helped in describing how teaching approaches evolved using AI technology.

Results showed that teachers used AI for planning, instruction and assessment. AI-augmented teaching practices allowed teachers to complete tasks with greater speed, which in turn increased stamina and short-term work–life balance. Given the novelty of AI, concerns about data privacy and academic integrity raised ethical questions.

ChatGPT’s rise to popularity in 2023 brought with it significant discussions about education, specifically how students would use AI primarily as a tool for plagiarism. This study takes a different focus, considering how early adoption of AI has begun changing teacher labor, offering implications for the future of the teaching profession.

This paper reviews the pros and cons of different parametric modeling methods, which can provide a theoretical reference for parametric reconstruction of 3D human body models for virtual fitting.

In this study, we briefly analyze the mainstream datasets of models of the human body used in the area to provide a foundation for parametric methods of such reconstruction. We then analyze and compare parametric methods of reconstruction based on their use of the following forms of input data: point cloud data, image contours, sizes of features and points representing the joints. Finally, we summarize the advantages and problems of each method as well as the current challenges to the use of parametric modeling in virtual fitting and the opportunities provided by it.

Considering the aspects of integrity and accurate of representations of the shape and posture of the body, and the efficiency of the calculation of the requisite parameters, the reconstruction method of human body by integrating orthogonal image contour morphological features, multifeature size constraints and joint point positioning can better represent human body shape, posture and personalized feature size and has higher research value.

This article obtains a research thinking for reconstructing a 3D model for virtual fitting that is based on three kinds of data, which is helpful for establishing personalized and high-precision human body models.

This paper aims to explore the role played by the National Archives of South Africa in human rights promotion and protection. The study examined the challenges that archivists encounter when undertaking archival functions, such as acquisition, appraisal and access provision, that contribute to forming documentary archives crucial for human rights promotion and protection.

A review of literature dealing with acquisition, appraisal and access was used in this research. It was supplemented with interviews.

This paper provides recommendations of benefits in the field of archives management with a focus on the areas of acquisition, appraisal and access. The transformational discourse in the jurisdiction of archives management challenges archival institutions to be active players in selecting historical and cultural archives’ significance that is significant in human rights protections. However, despite judicial requirements that recommend the importance of archives, there is evidence that archival functions such as appraisal, acquisition and access are not being fully used, resulting in national archives institutions that are subject to irregularities that contribute to an unbalanced archives collection.

The paper was limited only to the National Archives of South Africa.

The paper makes practical implications concerning the acquisition, appraisal and providing access to human rights records.

Sufficient funding resource allocation ought to be provided to advance human rights promotion.

This paper offers informed recommendations to address the challenges of acquisition, appraisal and access provision of archive materials. The availability of archives materials reinforces the community by aiding to protect legal rights and prevent human rights violations. It was, thus, necessary to establish whether the National Archives of South Africa is actively building the archives collections that are important for human rights promotion and protection.

In August, 2015, Serena Williams, one of the most successful female athletes of all time, was body shamed in a New York Times article. The incident highlights the issue of unequal treatment of male and female athletes – while a muscular frame enhances masculinity for male athletes, a muscular physique invites body shaming for female athletes. In this study, symbolic interactionist theories regarding the generalized other are called into question. While George Mead's theorizing exhibits a nonproblematic role taking of the generalized other in a cooperative manner, this study reports the presence of paradoxical generalized others, and consequently, the incongruent role taking of a latent generalized other by individuals. This study investigates if the issue of body image exists among college female athletes, if college female athletes experience the dilemma of choosing between outstanding performance with a muscular frame or maintaining traditional female appearance. To provide answers to the question, female athletes in a midwest university were invited to fill out a survey. The survey results confirm the existence of a paradox between performance and appearance among some college female athletes.

Responding to the continuing separation of participants and researchers in LIS participatory research, a new methodology is proposed: action partnership research design (APRD). It is asserted that APRD can mitigate or remove the hierarchical structures often inherent in the research process, thus allowing for equal contribution from all.

Building on the bonded design (BD) methodology and informed by a scoping literature review conducted by the same authors, APRD is a human-centered research approach with the goal of empowering and valuing community partnerships. APRD originates from research investigating the use of participatory design methods to foster collaboration between two potentially disparate groups, firstly with adult researchers/designers and elementary school children, and secondly with university faculty and IT professionals.

To achieve this goal, in addition to BD techniques, APRD draws inspiration from elements of indigenous and decolonization research methodologies, particularly those with an emphasis on destabilizing power hierarchies and involving research participants as full partners.

APRD, which emerged from findings from previous participatory design studies, especially those of BD, is based on the premise of partnership, recognizing that each member of a design team, whether researcher or participant/user, has unique expertise to contribute. By considering participants/users as full research partners, APRD aims to flatten the hierarchies exhibited in some LIS participatory research methodologies, where participants are treated more like research subjects than partners.

Every day, small and big incidents happen all over the world, and given the human, financial and spiritual damage they cause, proper planning should be sought to deal with them so they can be appropriately managed in times of crisis. This study aims to examine humanitarian supply chain models.

A new model is developed to pursue the necessary relations in an optimal way that will minimize human, financial and moral losses. In this developed model, in order to optimize the problem and minimize the amount of human and financial losses, the following subjects have been applied: magnitude of the areas in which an accident may occur as obtained by multiple attribute decision-making methods, the distances between relief centers, the number of available rescuers, the number of rescuers required and the risk level of each patient which is determined using previous data and machine learning (ML) algorithms.

For this purpose, a case study in the east of Tehran has been conducted. According to the results obtained from the algorithms, problem modeling and case study, the accuracy of the proposed model is evaluated very well.

Obtaining each injured person's priority using ML techniques and each area's importance or risk level, besides developing a bi-objective mathematical model and using multiple attribute decision-making methods, make this study unique among very few studies that concern ML in the humanitarian supply chain. Moreover, the findings validate the results and the model's functionality very well.

This chapter traces the origin of racism and reviews the historical and contemporary debates around race and racialisation in western thought. There are persistent disagreements surrounding the origin and nature of racism. Because of the evolution of racist ideas, behaviours and institutional practices and policies, there are various views about the meaning and analytical application of racism. This chapter explores how ideas of race – understood as innate and immutable human differences that can be classified and ranked hierarchically based on race – has emerged in western history and evolved over time. It examines how this has influenced social and political practices and associated policies across the evolution of modernity. The chapter specifically discusses the Atlantic slave trade and how it shaped the historical development of race and racism within the context of colonialism. It concludes with a discussion and critical review of some of the racist systems and policies which have been enforced across different multiracial countries.

This chapter provides the historical and intellectual context of studying inequality and domination using the symbolic interactionist perspective. Lonnie Athens' radical interactionism was identified as a useful framework to research the omnipresent and insidious inequality found in everyday life. Chapters presented in this volume represent a follow up of Volume 41 of Studies in Symbolic Interaction, edited by Athens, where he laid the ground work for the research of domination and subordination. Chapters in this volume demonstrate the advancements made in studying inequality in symbolic interactionist research.