Love in Eileen Chang’s works: Distinctive and ideological
Journal: International Journal of English, Literature and Social Science (Vol.8, No. 4)Publication Date: 2023-07-06
Authors : Nguyen Ngoc Khai Linh;
Page : 245-249
Keywords : Chinese literature; Contemporary literature; Eileen Chang; Feminism; Love;
Abstract
In the realm of literature, the exploration of love has perpetually fascinated both creators and readers, serving as a dynamic mirror reflecting shifts in societal norms, cultural undercurrents, and ideological tides. Across the epochs, the portrayal of love within literary works has undergone a profound evolution. In the tapestry of classical Chinese literature, characterized by draconian dogmas and entrenched male chauvinism during the feudal era, women were often relegated to subordinate roles, their experiences of love marred by silent endurance. However, a literary luminary emerged who infused new vitality into the depiction of affection – Eileen Chang. Her narratives transcended conventions, empowering individuals of all genders to articulate their emotions boldly, resist societal constraints, and challenge the forces that dictated their fates. Within the intricate weave of her prose, love ceased to be a mere sentiment; instead, it emerged as an indomitable force of defiance and liberation. This research article delves meticulously into the exquisite tapestry of love woven by Eileen Chang, casting a spotlight on its enduring essence and providing a contemporary evaluation that harmonizes with modern perspectives
Other Latest Articles
- Brief Glimpses of Raskhan and his Visions of Lord Krishna in Sujaan
- The Possibility of using Flared Gas to Generate Electricity using Combined Power Cycle
- Clinical Healthcare Technologies: An Analysis of Healthcare Technologies Used in Medical Clinics
- When the Sun Sets on Net Metering: How the Cancellation of Net Metering Impacted the Potential Adoption of Residential Rooftop Solar Photovoltaics in Regina, Saskatchewan
- Data Mining Framework for Network Intrusion Detection using Efficient Techniques
Last modified: 2023-08-28 18:00:54