Purpose: This paper examines the relationship between individual and collective memory in the construction of exilic identity in Gazmend Kapllani’s novels The Worst of One’s Own Self (2018) and The Last Page (2021). It aims at identifying the narrative strategies through which mnemonic processes shape individual and collective selfhood in the context of the Albanian diaspora. Methodology: The study employs a comparative literary method grounded in qualitative close reading by combining Ricœur’s (2003) narrative identity theory, Halbwachs’s (1992) collective memory framework, Fisher’s (1984) narrative paradigm, and Bakhtin’s (1981) concepts of dialogism and chronotope, as operationalized through Genette’s (1980) narratological categories. Findings: The analysis demonstrates that individual memory in Kapllani’s fiction functions not as a static archive but as a [1]continuous process of interpretation and reinterpretation, shaped by trauma, exile, and ideological pressure. Both novels mobilize memory as a narrative strategy for constructing a cultural, historical, and individual identity, in which the alienated subject negotiates selfhood across fractured temporal and spatial configurations. The narrative techniques of dialogism and chronotopic displacement are identified as the principal mechanisms through which personal memory is transformed into collective cultural testimony. Originality: This study represents the first systematic application of a combined Ricœurian–Bakhtinian framework to Kapllani’s two post-2015 novels, addressing a gap in existing scholarship, which has focused predominantly on his earlier memoir works and has not engaged with the narratological dimension of mnemonic identity construction in his fiction.
This study examines the legal status of Syrian refugees in Türkiye, emphasizing the effects of the open-door policy introduced in 2011, which permitted a large influx of women and children fleeing the Syrian civil conflict. The legal framework governing their status includes the Law on Foreigners and International Protection (LFIP) and the Temporary Protection Regulation, which enables temporary protection. With the overthrow of the Assad regime in December 2024, there is renewed focus on the voluntary return process. This research explores the differences in substantive divorce laws between Syria and Türkiye for vulnerable migrants, particularly Syrian women. This highlights the impact of changing marital status on the voluntary return process and the recognition of the Turkish court’s rulings in the country of origin in personal and family law disputes involving Syrian women.
This study examines internal migration in the Netherlands over the period from 2009 to 2022, providing insights into the magnitude, characteristics, and spatial patterns of movements between municipalities. Using comprehensive individual-level data from Statistics Netherlands (CBS), it explores demographic profiles of internal migrants, factors influencing mobility, and the structure of migration networks. The analysis draws on two main sources: the register-based node data of the Person Network of the Netherlands, covering the entire Dutch population, and the Social Cohesion and Well-being (SSW) survey, which provides detailed social indicators from a representative sample. Combining descriptive statistics, network analysis, and visualization techniques, the publication offers a detailed look at who moves, how far they move, and the reciprocal nature of migration flows across regions. The results highlight that internal migration significantly shapes demographic dynamics and regional development. Young adults, particularly those aged 20–30, are most mobile. This likely reflects educational transitions, early career development, and household formation, as these life stages tend to coincide with higher mobility. Additionally, educational attainment appears to be a major factor in migration rates, with the higher educated individuals showing higher mobility. Income also plays a role, as both the lowest and highest quartiles exhibit notable migration levels. A distinctive feature of the Dutch internal migration network is its high reciprocity—around 75% of migration flows are matched by reciprocal movements, reflecting relatively balanced exchanges among municipalities. Policymakers, researchers, and urban planners can use these insights to better understand population redistribution, address regional imbalances, and develop strategies that support sustainable community development across the Netherlands.
This study investigates the emotional maturity, perceived loneliness, and aggression levels among adolescents raised in single-parent households and combine parenting. The hypothesis posits that single parenting influences these psychological aspects in adolescents. A sample of 310 adolescents (aged 13-18) participated, selected through purposive convenient sampling. Measures included the Emotional Maturity Scale, UCLA Loneliness Scale V-III, and Aggression Scale by Pamela Orpinas (2001). Results indicate that adolescents living with singles experience low levels of perceived loneliness, as compared to those with both parents exhibit high emotional maturity. Furthermore, adolescents from single-parent households display lower self-esteem. A negative correlation between perceived loneliness and emotional maturity. Demographic analysis reveals significant differences in emotional maturity, perceived loneliness, and aggression between genders, with males displaying higher levels of aggression. There was a significant difference between the single and combining parenting in Emotional Maturity, Perceived Loneliness, and aggression in Adolescence. These findings hold practical implications for clinical settings, particularly in counseling adolescents navigating conflicts with absent or stepparents and addressing loneliness issues within parental relationships. Therapeutic interventions can be tailored to enhance emotional maturity and alleviate associated challenges, thus contributing to the broader psychological discourse on adolescent well-being in single-parent households.
Online pricing is quite straightforward and might be the main factor in an online purchase. Even while price volatility is not new and is frequently used to boost sales and profitability, online businesses really benefit from it. The suggested study is the outcome of an ongoing project that intends to improve customers' ability to acquire the proper price on an e-commerce platform by employing reliable machine learning algorithms to produce a broad structure and relevant methodologies. Although the focus of this study is mostly on inventory-led e-commerce businesses, online marketplaces without stocks can also adopt this paradigm. With the use of statistical and machine learning methods, the study aims to forecast consumer choices based on dynamic or adaptive product pricing.
