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    <title>Data on the Effects of Hegemonic Masculinity in US Presidential Speech Acts on Fatalities of Organised Violence in US Wars</title>
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    <keywords>Stereotypical masculinity, hegemonic masculinity, organised violence, intervention, United States, speech acts</keywords>
    <abstract>This dataset it created for the measurement of the effect of hegemonic masculine US presidential speech acts on the development of fatalities in US wars. Hegemonic mascunility in this data is counted as the monthly absolute number and share of sentences with the word &quot;protect&quot; in which the method of protection is changing of someone else&apos;s behaviour by means of power (rather than conducting protective actions, such as accepting refugees, for example, or by restraining mutual power by means of arms control, disarmament etc.). Coding has been done by using NVivo and by coding each sentence from the document collection Public Papers of the President of the United States from the beginning of year 1989 until the end of 2013.</abstract>
    <date>2023-11-01</date>
    <publisher>University of Bath</publisher>
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    <lay_summary>This data helps measure how muscular power-oriented US approach affects the development of the number of fatalities in US wars. The data has been created by coding each sentence US president has spoken or written, as codified in the document collection Public Papers of the President of the United States, with the word protect. With coding rules these sentences have been codified as power-centric or not power-centric on the basis of the method that the word protect refers to. If the method is to use power to change someone else&apos;s behaviour, it has been coded as power-centric, if not then it has been coded as not power centric. The dataset consists of monthly frequencies of power-centric utterances with the word &quot;protect&quot;, utterances of protect that are not power centric, and the ratio of the two.</lay_summary>
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    <collection_method>The textual data is collected by using NVivo textual analysis program. The coding method on power-centricity is described in the chapter that this data supports. Then the data has been transferred to Stata program, and additional variables have been created with that program.</collection_method>
    <provenance>For the data on fatalities of conflict I used Uppsala Conflict Data Program&apos;s Georeferenced Event Data:  Davies, Shawn, Therése Pettersson, and Magnus Öberg 2022. ‘Organized Violence 1989–2021 and Drone Warfare’. Journal of Peace Research 59(4): pp. 593–610. https://doi.org/10.1177/00223433221108428  and Sundberg, Ralph and Erik Melander (2013) Introducing the UCDP Georeferenced Event Dataset. Journal of Peace Research 50(4). https://doi.org/10.1177/0022343313484347</provenance>
    <techinfo>For the coding of text I used NVivo program, for the statistical treatment and the creation of additional variables I used Stata program.</techinfo>
    <collection_date>
      <date_from>2017-01-01</date_from>
      <date_to>2022-12-31</date_to>
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      <date_to>2019-12-31</date_to>
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    <language>en</language>
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    <doi>10.15125/BATH-01342</doi>
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    <access_arrangements>This data can be instantly accessible, yet it supports a chapter of handbook. Thus any use of this data should refer to the following data sources:
Kivimäki, Timo 2024. “Hegemonic Masculinity and the Power-Centric Method of Conflict Prevention,” In Research Handbook on Conflict Prevention, edited by Timo Kivimäki. Elgar Handbooks in Political Science Series. Cheltenham, UK: Edward Elgar Publishing.

And 

Kivimäki, Timo 2023. “Data on the Effects of Hegemonic Masculinity in US Presidential Speech Acts on Fatalities of Organised Violence in US Wars.”  Bath: University of Bath Research Data Archive. https://doi.org/10.15125/BATH-01342</access_arrangements>
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