Race and Reunion: The Civil War in American Memory

David W. Blight

No historical event has left as deep an imprint on America's collective memory as the Civil War. In the war's aftermath, Americans had to embrace and cast off a traumatic past. David Blight explores the perilous path of remembering and forgetting, and reveals its tragic costs to race relations and America's national reunion. *Race and Reunion* is a history of how the unity of white America was purchased through the increasing segregation of black and white memory of the Civil War. Blight delves deeply into the shifting meanings of death and sacrifice, Reconstruction, the romanticized South of literature, soldiers' reminiscences of battle, the idea of the Lost Cause, and the ritual of Memorial Day. He resurrects the variety of African American voices and memories of the war and the efforts to preserve the emancipationist legacy in the midst of a culture built on its denial.

HistoryAmerican History · high confidenceAmerican History81 signalsLlm Classifier: American History -> American HistoryOpen Library: Race relations -> Race & EthnicityOpen Library: African Americans -> Race & EthnicityAmerican Civil WarCivil Rights & Racial JusticeReconstructionBlack History & Culture
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

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    White America's unity in Civil War memory was secured through increasing segregation of black and white memories of the war, with tragic costs to race relations and national reunion.

    Model confidence 78%

  4. 04 Reading orientation

    70 / 100 academic

    Academic

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

Confidence percentages are the model's own estimates. Profile confidence: 76%.