Fenwick - Research Project
Posted by Danny Sanders on 9/29/2021
Literary Critique and Analysis of the Works of Jane Austen
The above link will take you to curated literary criticism and analysis for the nineteenth-century English novelist Jane Austen. Academic web sites and peer-reviewed journal articles. Links take you directly to articles.
More links to explore and consider:
Jane Austen’s characters are continually watching, judging and gossiping about others and, in turn, are watched, judged and gossiped about. Professor Kathryn Sutherland explores the ways in which behaviour and etiquette are closely monitored in the novels, and how characters must learn to be skillful readers of those around them.
Austen, who died on July 18, 1817, at 41, is known for her six completed novels, among them the highly adapted Pride and Prejudice and Sense and Sensibility.Originally published anonymously, the ...
Is constraint or limitation a condition of living in society? (Some critics find this issue at the heart of Austen's achievement: Martin Price suggests, "The larger irony that informs all of Jane Austen's comic art is a sense of human limitations."
Steps to conducting your research and writing your paper:
Familiarize yourself with the articles and materials you find.
Group together the ideas you find that support themes from your research topic.
Review and revise your themes. Ensure that each theme has enough data to support them and is distinct. Consider merging together themes that are similar, and removing themes that don’t have enough data to back them up. Begin formulating how your themes can come together into a narrative.
Write your narrative. Writing the narrative is the final step to tell the story of your data. You should have fully thought-out themes, and now it’s your chance to communicate to your readers about the validity of your analysis. Make sure that your narrative tells a coherent story about your data, and choose vivid quotes from your data that help back up your points. Your narrative should go beyond just describing your data and should include your own interpretive analysis and make an argument for the claims you present.