JOURNAL ARTICLE

Fatherhood and Compassion: A Comparative Study of To Kill a Mockingbird and Cry, the Beloved Country.

  • Published In: International Journal of Literary Humanities, 2024, v. 22, n. 4. P. 229 1 of 3

  • Database: Humanities Source Ultimate 2 of 3

  • Authored By: Mused Al-Subari, Ali Ahmed 3 of 3

Abstract

This research article explores the concept of compassion in paternal figures and its power as depicted in two classic literary works: Harper Lee's To Kill a Mockingbird and Alan Paton's Cry, the Beloved Country. The study examines how these fathers, Atticus Finch and Stephen Kumalo, demonstrate empathy, understanding, and love in the face of adversity. These characters exemplify compassion and moral integrity amid social injustices. Through a comparative analysis, this article investigates how their acts of compassion shape the narrative and convey deeper societal messages about race, justice, and empathy. By examining the similarities and differences in the portrayal of these father figures, this research highlights the importance of compassion and ethical responsibility in fostering positive social change. In conclusion, this study underscores the enduring relevance of empathy and moral integrity in addressing social injustices and fostering a more equitable and compassionate society. This study reveals the significance of compassion and ethical responsibility in driving positive social change, shedding light on their lasting impact on shaping the destinies of individuals and communities. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Literary Humanities. 2024/12, Vol. 22, Issue 4, p229
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2024
  • ISSN:23277912
  • DOI:10.18848/2327-7912/CGP/v22i04/229-246
  • Accession Number:181719168
  • Copyright Statement:Copyright of International Journal of Literary Humanities is the property of Common Ground Research Networks and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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