Robert Lowell, Setting the River on Fire: A Study of Genius, Mania, and Character

Kay Redfield Jamison

PULITZER PRIZE FINALIST • In this magisterial study of the relationship between illness and art, the best-selling author of An Unquiet Mind, Kay Redfield Jamison, brings an entirely fresh understanding to the work and life of Robert Lowell (1917-1977), whose intense, complex, and personal verse left a lasting mark on the English language and changed the public discourse about private matters. In his poetry, Lowell put his manic-depressive illness (now known as bipolar disorder) into the public domain, and in the process created a new and arresting language for madness. Here Dr. Kay Redfield Jamison brings her expertise in mood disorders to bear on Lowell’s story, illuminating not only the relationships between mania, depression, and creativity but also how Lowell’s illness and treatment influenced his work (and often became its subject). A bold, sympathetic account of a poet who was—both despite and because of mental illness—a passionate, original observer of the human condition.

BiographyBiography · medium confidenceBiography81 signalsLlm Classifier: Biography -> BiographyGoogle Books: Biography & Autobiography -> Memoir & AutobiographyGoogle Books: Biography & Autobiography -> BiographyLiterary BiographyLiterature & WritersMental Health & Psychology
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    • Robert Lowell95%
  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    Lowell’s manic-depressive illness materially shaped both his life and art, and bringing it into public discourse helped create a new language for “madness.”

    Model confidence 62%

  4. 04 Reading orientation

    50 / 100 academic

    Trade / academic crossover

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 78%.