JOURNAL ARTICLE

Puritan Genealogies: Robert Lowell, Perry Miller, and the Postwar Jonathan Edwards.

  • Published In: PMLA: Publications of the Modern Language Association of America, 2023, v. 138, n. 2. P. 274 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: CORDINGLEY, ANTHONY 3 of 3

Abstract

Robert Lowell challenged the mid-century canonization of the eighteenth-century Puritan theologian Jonathan Edwards. He objected to the way the influential historian Perry Miller instrumentalized Edwards to buttress support for US imperialism, exceptionalism, and ColdWar politics. Challenging received views about the Puritan rhetoric of the most recognizable of postwar poets, this article contrasts Miller's captivating thesis of the Puritans' "errand into the wilderness" with Lowell's implication of Edwards in acts of colonial expansion and slavery. Lowell's Edwards emerges as a contradictory figure who, in Lowell's 1962 poem "Jonathan Edwards inWestern Massachusetts," is brought into discourse with the sixteenth- and seventeenth-century philosopher-scientists Francis Bacon and Blaise Pascal. Lowell fashions a Puritan genealogy within which Edwards is a cosmopolitan interlocutor and forebear of confessionalism; however, the theologian's flawed moral self-scrutiny occasions the poet's self-reflexive satire, as well as his model for a faltering, self-correcting rectitude. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:PMLA: Publications of the Modern Language Association of America. 2023/03, Vol. 138, Issue 2, p274
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2023
  • ISSN:0030-8129
  • DOI:10.1632/s0030812923000135
  • Accession Number:163754585
  • Copyright Statement:Copyright of PMLA: Publications of the Modern Language Association of America is the property of Cambridge University Press 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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