Remaking the American Mainstream: Assimilation and Contemporary Immigration

Richard Alba, Victor Nee

In this age of multicultural democracy, the idea of assimilation--that the social distance separating immigrants and their children from the mainstream of American society closes over time--seems outdated and, in some forms, even offensive. But as Richard Alba and Victor Nee show in the first systematic treatment of assimilation since the mid-1960s, it continues to shape the immigrant experience, even though the geography of immigration has shifted from Europe to Asia, Africa, and Latin America. Institutional changes, from civil rights legislation to immigration law, have provided a more favorable environment for nonwhite immigrants and their children than in the past. Assimilation is still driven, in claim, by the decisions of immigrants and the second generation to improve their social and material circumstances in America.

Race & EthnicityRace & Ethnicity · medium confidenceRace & Ethnicity81 signalsLlm Classifier: Race & Ethnicity -> Race & EthnicityKeyword Classifier: American History -> American HistoryKeyword Classifier: Nature & Environment -> Nature & EnvironmentCivil Rights & Racial JusticeDrugs, Addiction & TreatmentImmigration, Refugees & BorderlandsDemocracy & Elections
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

    Assimilation remains a key force shaping immigrant experiences in contemporary America, despite shifts in immigrant origins and a changing legal and institutional environment.

    Model confidence 76%

  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: 84%.