Volume 59

This study explores the operational mechanisms and dual impacts of the gig economy on the labor market through a case study of the Upwork platform. The gig economy offers unprecedented flexibility and global opportunities, particularly evident in professional fields such as software development, design, writing, and translation. However, this economic model also brings employment instability and high competitive pressure, especially for newcomers who may struggle to find suitable work due to platform algorithm biases, leading to talent loss and jeopardizing platform sustainability. Moreover, the subjective evaluation of work quality and inadequate dispute resolution mechanisms often lead to conflicts between users and workers. Despite data from the United States Bureau of Labor Statistics in 2017 showing that 34% of American workers participated in the gig economy, indicating its positive contribution to society, platforms and regulators need to further refine evaluation and compensation mechanisms to ensure fairness and efficiency. This paper suggests that by optimizing algorithms and assessment systems, and in conjunction with protective government policies, the fairness and sustainability of the gig economy can be effectively enhanced, creating positive outcomes for all participants.

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In recent years, advancements in science and technology have propelled humanity into the digital era, fundamentally transforming the education sector. Notably, kindergartens are beginning to integrate digital teaching methods, replacing traditional teacher-assisted second language acquisition with audio-visual books. The development of children's language skills during early childhood is crucial, and it is imperative to capitalize on this critical period. This study aims to compare the effectiveness of audio-visual books and teacher-assisted teaching methods in facilitating second language acquisition among young learners. By conducting research experiments, we will evaluate the impact of these two teaching approaches on children's language development, focusing on key factors such as visual and auditory stimulation, attention span, and pronunciation accuracy. The experimental design includes pretests and posttests to measure the learning outcomes of 4-5-year-old children exposed to each teaching method. Thirty children from the same kindergarten, divided into two groups, will participate in this study. One group will learn using audio-visual books, while the other will receive teacher-assisted instruction. The findings of this research will provide valuable insights into the most effective teaching practices for enhancing early childhood language education. By identifying the strengths and limitations of each method, we aim to inform educators and policymakers about the optimal strategies for promoting second language acquisition in young children, ultimately contributing to the improvement of educational practices in the digital age.

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Mate choice is pivotal in shaping the quality of marriages and family structures. This paper explores the psychology behind women's selection of spouses in the context of evolving societal norms and gender roles, particularly within the dynamic landscape of contemporary China. Drawing upon evolutionary psychology, sociology, and social learning theories, it investigates the multifaceted factors influencing women's mating preferences, including biological characteristics, socioeconomic status, and personality traits. Additionally, the paper examines the role of familial influence, societal expectations, and gender roles in shaping mate selection criteria. Through a comprehensive literature review and theoretical analysis, this study contributes to a deeper understanding of the complex interplay between individual psychology, social dynamics, and cultural contexts in the process of mate selection.

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