Chants Democratic: New York City and the Rise of the American Working Class, 1788-1850

Sean Wilentz

Since its publication in 1984, Chants Democratic has endured as a classic narrative on labor and the rise of American democracy. In it, Sean Wilentz explores the dramatic social and intellectual changes that accompanied early industrialization in New York. He provides a panoramic chronicle of New York City's labor strife, social movements, and political turmoil in the eras of Thomas Jefferson and Andrew Jackson. Twenty years after its initial publication, Wilentz has added a new preface that takes stock of his own thinking, then and now, about New York City and the rise of the American working class.

HistoryAmerican History · medium confidenceAmerican History81 signalsLlm Classifier: American History -> American HistoryGoogle Books: History -> HistoryAward Category: American Historical Association Book Prizes: Beveridge Family Prize in American History -> American HistoryClass, Poverty & InequalityDemocracy & ElectionsHousing, Cities & Urban LifeLabor, Work & Organizing
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

    • New York City95%
  3. 03 Suggested argument

    No argument inferred with sufficient confidence.

    This suggestion did not meet the normal display threshold and is more likely to be wrong.

    The social and intellectual changes of early industrialization in New York City—along with labor strife, social movements, and political turmoil—drove the rise of the American working class and early American democracy.

    Model confidence 46%

  4. 04 Reading orientation

    68 / 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: 72%.