<?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>02743cam a22003255a 4500</leader>
  <controlfield tag="001">17887654</controlfield>
  <controlfield tag="003">EG-ScBUE</controlfield>
  <controlfield tag="005">20220427102818.0</controlfield>
  <controlfield tag="008">130916s2014    enka   f b    001 0 eng d</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9781441110589 </subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
    <subfield code="a">DLC</subfield>
    <subfield code="b">eng</subfield>
    <subfield code="e">rda</subfield>
    <subfield code="c">DLC</subfield>
    <subfield code="d">EG-ScBUE</subfield>
  </datafield>
  <datafield tag="082" ind1="0" ind2="4">
    <subfield code="2">22</subfield>
    <subfield code="a">415.5</subfield>
    <subfield code="b">BAK</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
    <subfield code="9">40993</subfield>
    <subfield code="a">Baker, Paul,&#x200F; </subfield>
    <subfield code="d">1972-&#x200F; </subfield>
    <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">Using corpora to analyze gender /</subfield>
    <subfield code="c">Paul Baker.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
    <subfield code="a">London ;</subfield>
    <subfield code="a">New York :</subfield>
    <subfield code="b">Bloomsbury,</subfield>
    <subfield code="c">2014.</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">228 pages :</subfield>
    <subfield code="b">illustrations ;</subfield>
    <subfield code="c">24 cm</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
    <subfield code="2">rdacontent</subfield>
    <subfield code="a">text</subfield>
    <subfield code="b">txt</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
    <subfield code="2">rdamedia</subfield>
    <subfield code="a">unmediated</subfield>
    <subfield code="b">n</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
    <subfield code="2">rdacarrier</subfield>
    <subfield code="a">volume</subfield>
    <subfield code="b">nc</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">1. Introduction -- 2. Gender difference redux: Do women say "lovely" more than men? -- 3. Nope, good guess though: How do female academics signal disagreement? -- Male bias and change over time: Where are all the spokeswomen? -- Discourse prosodies and legitimation strategies: Revisiting the Daily Mail's representations of gay men -- What are boys and girls made of? Using Sketch Engine to analyse collocational patterns -- Triangulating methods: What can personal ads on Craigslist reveal about gender? </subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">Corpus linguistics uses specialist software to identify linguistic patterns in large computerised collections of text - patterns which then must be interpreted and explained by human researchers. This book critically explores how corpus linguistics techniques can help analysis of language and gender by conducting a number of case studies on topics which include: directives in spoken conversations, changes in sexist and non-sexist language use over time, personal adverts, press representation of gay men, and the ways that boys and girls are constructed through language. The book thus covers both gendered usage (e.g. how do males and females use language differently, or not, from each other), and gendered representations (e.g. in what ways are males and females written or spoken about). Additionally, the book shows ways that readers can either explore their own hypotheses, or approach the corpus from a "nai;ve" position, letting the data drive their analysis from the outset. The book covers a range of techniques and measures including frequencies, keywords, collocations, dispersion, word sketches, downsizing and triangulation, all in an accessible style.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="7">
    <subfield code="a">Grammar, Comparative and general </subfield>
    <subfield code="x">Gender.</subfield>
    <subfield code="2">BUEsh</subfield>
    <subfield code="9">40990</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="7">
    <subfield code="a">Language and languages</subfield>
    <subfield code="x">Sex differences.</subfield>
    <subfield code="2">BUEsh</subfield>
    <subfield code="9">40991</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="7">
    <subfield code="a">Corpora (Linguistics).</subfield>
    <subfield code="2">BUEsh</subfield>
    <subfield code="9">40992</subfield>
  </datafield>
  <datafield tag="651" ind1=" " ind2=" ">
    <subfield code="2">BUEsh</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="b">HHUUEENN</subfield>
    <subfield code="c">August 2016	</subfield>
  </datafield>
  <datafield tag="655" ind1=" " ind2=" ">
    <subfield code="v">Reading book</subfield>
    <subfield code="9">34232</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="2">ddc</subfield>
    <subfield code="e">22</subfield>
    <subfield code="k">415.5 BAK</subfield>
    <subfield code="c">BB</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">22288</subfield>
    <subfield code="d">22260</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="1">0</subfield>
    <subfield code="2">ddc</subfield>
    <subfield code="4">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="8">Baccah</subfield>
    <subfield code="a">MAIN</subfield>
    <subfield code="b">MAIN</subfield>
    <subfield code="c">2ND</subfield>
    <subfield code="d">2016-08-31</subfield>
    <subfield code="e">Purchase</subfield>
    <subfield code="g">755.00</subfield>
    <subfield code="h">26103</subfield>
    <subfield code="l">0</subfield>
    <subfield code="o">415.5 BAK</subfield>
    <subfield code="p">000033161</subfield>
    <subfield code="r">2025-07-15 00:00:00</subfield>
    <subfield code="v">944.00</subfield>
    <subfield code="w">2016-08-31</subfield>
    <subfield code="y">BB</subfield>
  </datafield>
</record>
