<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>03177cam a2200373 i 4500</leader>
  <controlfield tag="001">on1099832685</controlfield>
  <controlfield tag="003">OCoLC</controlfield>
  <controlfield tag="007">ta</controlfield>
  <controlfield tag="008">190816t20192019nyua     b    001 0 eng c</controlfield>
  <datafield tag="010" ind1=" " ind2=" ">
    <subfield code="a">  2019018989</subfield>
  </datafield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9780231187657</subfield>
  </datafield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9780231187640 (cloth)</subfield>
  </datafield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">0231187645</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
    <subfield code="a">(OCoLC)1099832685</subfield>
    <subfield code="z">(OCoLC)1129187598</subfield>
    <subfield code="z">(OCoLC)1201626976</subfield>
    <subfield code="z">(OCoLC)1202020204</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
    <subfield code="a">PUL</subfield>
    <subfield code="b">eng</subfield>
    <subfield code="e">rda</subfield>
    <subfield code="c">PUL</subfield>
    <subfield code="d">ERASA</subfield>
    <subfield code="d">OCLCF</subfield>
    <subfield code="d">IGP</subfield>
    <subfield code="d">EAU</subfield>
    <subfield code="d">DLC</subfield>
    <subfield code="d">OCLCO</subfield>
    <subfield code="d">YUS</subfield>
    <subfield code="d">BNG</subfield>
    <subfield code="d">GUA</subfield>
    <subfield code="d">UKMGB</subfield>
    <subfield code="d">TOH</subfield>
    <subfield code="d">CHVBK</subfield>
    <subfield code="d">OCLCO</subfield>
    <subfield code="d">WTU</subfield>
    <subfield code="d">XMC</subfield>
  </datafield>
  <datafield tag="050" ind1="0" ind2="0">
    <subfield code="a">E912</subfield>
    <subfield code="b">.F57 2019</subfield>
  </datafield>
  <datafield tag="082" ind1="0" ind2="0">
    <subfield code="a">322.4/40973</subfield>
    <subfield code="2">23</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
    <subfield code="a">Fisher, Dana,</subfield>
    <subfield code="d">1971-</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">American resistance :</subfield>
    <subfield code="b">from the Women's March to the blue wave /</subfield>
    <subfield code="c">Dana R. Fisher.</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="a">New York : </subfield>
    <subfield code="b">Columbia University Press, </subfield>
    <subfield code="c">c2019.</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">xiii, 197 p. :</subfield>
    <subfield code="b">ill.</subfield>
  </datafield>
  <datafield tag="504" ind1=" " ind2=" ">
    <subfield code="a">Includes bibliographical references and index.</subfield>
  </datafield>
  <datafield tag="505" ind1="0" ind2=" ">
    <subfield code="a">How did we get here? -- Resistance in the streets -- Organizing the resistance in the districts -- Resistance in the districts -- Looking back while moving forward.</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">"Since Donald Trump's first day in office, a large and energetic grassroots 'Resistance' has taken to the streets to protest his administration's plans for the United States. Millions marched in pussy hats on the day after the inauguration; outraged citizens flocked to airports to declare that America must be open to immigrants; masses of demonstrators circled the White House to demand action on climate change; and that was only the beginning. Who are the millions of people marching against the Trump administration, how are they connected to the Blue Wave that washed over the U.S. Congress in 2018 -- and what does it all mean for the future of American democracy? American Resistance traces activists from the streets back to the communities and congressional districts around the country where they live, work, and vote. Using innovative data and interviews with key players, Dana R. Fisher analyzes how Resistance groups have channeled outrage into activism, using distributed organizing to make activism possible by anyone from anywhere, whenever and wherever it is needed most. Beginning with the Women's March and following the movement through the 2018 midterms, Fisher demonstrates how the energy and enthusiasm of the Resistance paid off in a wave of Democratic victories. She reveals how the Left rebounded from the devastating 2016 election, the lessons for turning grassroots passion into electoral gains, and what comes next for the Resistance movement. American Resistance explains the organizing that is revitalizing democracy to counter Trump's presidency"</subfield>
  </datafield>
  <datafield tag="600" ind1="1" ind2="4">
    <subfield code="a">Trump, Donald, </subfield>
    <subfield code="d">1946- </subfield>
    <subfield code="x">Adversaries.</subfield>
  </datafield>
  <datafield tag="600" ind1="1" ind2="7">
    <subfield code="a">Trump, Donald,</subfield>
    <subfield code="d">1946-</subfield>
    <subfield code="2">fast</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="4">
    <subfield code="a">Protest movements</subfield>
    <subfield code="z">United States</subfield>
    <subfield code="y">21st century.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="4">
    <subfield code="a">Government, Resistance to</subfield>
    <subfield code="z">United States </subfield>
    <subfield code="x">History </subfield>
    <subfield code="y">21st century.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="4">
    <subfield code="a">Protest movements</subfield>
    <subfield code="z">United States</subfield>
    <subfield code="x">History</subfield>
    <subfield code="y">21st century.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="4">
    <subfield code="a">Opposition (Political science) </subfield>
    <subfield code="z">United States</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="4">
    <subfield code="a">Right and left (Political science) </subfield>
    <subfield code="z">United States.</subfield>
  </datafield>
  <datafield tag="651" ind1=" " ind2="4">
    <subfield code="a">United States</subfield>
    <subfield code="x">Politics and government</subfield>
    <subfield code="y">2017-</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="2">lcc</subfield>
    <subfield code="c">BK</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="1">0</subfield>
    <subfield code="4">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="a">PNLIB</subfield>
    <subfield code="b">PNLIB</subfield>
    <subfield code="c">GEN</subfield>
    <subfield code="d">2021-06-17</subfield>
    <subfield code="o">E912 .F57 2019</subfield>
    <subfield code="p">PNLIB21061118</subfield>
    <subfield code="r">2021-06-17</subfield>
    <subfield code="w">2021-06-17</subfield>
    <subfield code="y">BK</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">1304</subfield>
    <subfield code="d">1304</subfield>
  </datafield>
</record>
