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“Heroes” and “Villains” of World History across Cultures

Identifieur interne : 002619 ( Main/Exploration ); précédent : 002618; suivant : 002620

“Heroes” and “Villains” of World History across Cultures

Auteurs : Katja Hanke [Allemagne] ; James H. Liu [Nouvelle-Zélande] ; Chris G. Sibley [Nouvelle-Zélande] ; Dario Paez [Espagne] ; Stanley O. Gaines [Royaume-Uni] ; Gail Moloney [Australie] ; Chan-Hoong Leong [Singapour] ; Wolfgang Wagner [Autriche] ; Laurent Licata [Belgique] ; Olivier Klein [Belgique] ; Ilya Garber [Russie] ; Gisela Böhm [Norvège] ; Denis J. Hilton [France] ; Velichko Valchev [Pays-Bas] ; Sammyh S. Khan [Royaume-Uni] ; Rosa Cabecinhas [Portugal]

Source :

RBID : PMC:4317187

Descripteurs français

English descriptors

Abstract

Emergent properties of global political culture were examined using data from the World History Survey (WHS) involving 6,902 university students in 37 countries evaluating 40 figures from world history. Multidimensional scaling and factor analysis techniques found only limited forms of universality in evaluations across Western, Catholic/Orthodox, Muslim, and Asian country clusters. The highest consensus across cultures involved scientific innovators, with Einstein having the most positive evaluation overall. Peaceful humanitarians like Mother Theresa and Gandhi followed. There was much less cross-cultural consistency in the evaluation of negative figures, led by Hitler, Osama bin Laden, and Saddam Hussein. After more traditional empirical methods (e.g., factor analysis) failed to identify meaningful cross-cultural patterns, Latent Profile Analysis (LPA) was used to identify four global representational profiles: Secular and Religious Idealists were overwhelmingly prevalent in Christian countries, and Political Realists were common in Muslim and Asian countries. We discuss possible consequences and interpretations of these different representational profiles.


Url:
DOI: 10.1371/journal.pone.0115641
PubMed: 25651504
PubMed Central: 4317187


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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</affiliation>
</author>
</analytic>
<series>
<title level="j">PLoS ONE</title>
<idno type="eISSN">1932-6203</idno>
<imprint>
<date when="2015">2015</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Culture</term>
<term>Famous Persons</term>
<term>History</term>
<term>Internationality</term>
<term>Religion</term>
<term>Students (psychology)</term>
<term>Universities</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Culture (sociologie)</term>
<term>Histoire</term>
<term>Internationalité</term>
<term>Personnes célèbres</term>
<term>Religion</term>
<term>Universités</term>
<term>Étudiants (psychologie)</term>
</keywords>
<keywords scheme="MESH" qualifier="psychologie" xml:lang="fr">
<term>Étudiants</term>
</keywords>
<keywords scheme="MESH" qualifier="psychology" xml:lang="en">
<term>Students</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Culture</term>
<term>Famous Persons</term>
<term>History</term>
<term>Internationality</term>
<term>Religion</term>
<term>Universities</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Culture (sociologie)</term>
<term>Histoire</term>
<term>Internationalité</term>
<term>Personnes célèbres</term>
<term>Religion</term>
<term>Universités</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Emergent properties of global political culture were examined using data from the World History Survey (WHS) involving 6,902 university students in 37 countries evaluating 40 figures from world history. Multidimensional scaling and factor analysis techniques found only limited forms of universality in evaluations across Western, Catholic/Orthodox, Muslim, and Asian country clusters. The highest consensus across cultures involved scientific innovators, with Einstein having the most positive evaluation overall. Peaceful humanitarians like Mother Theresa and Gandhi followed. There was much less cross-cultural consistency in the evaluation of negative figures, led by Hitler, Osama bin Laden, and Saddam Hussein. After more traditional empirical methods (e.g., factor analysis) failed to identify meaningful cross-cultural patterns, Latent Profile Analysis (LPA) was used to identify four global representational profiles: Secular and Religious Idealists were overwhelmingly prevalent in Christian countries, and Political Realists were common in Muslim and Asian countries. We discuss possible consequences and interpretations of these different representational profiles.</p>
</div>
</front>
<back>
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<li>Allemagne</li>
<li>Australie</li>
<li>Autriche</li>
<li>Belgique</li>
<li>Espagne</li>
<li>France</li>
<li>Norvège</li>
<li>Nouvelle-Zélande</li>
<li>Pays-Bas</li>
<li>Portugal</li>
<li>Royaume-Uni</li>
<li>Russie</li>
<li>Singapour</li>
</country>
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<li>Brême (Land)</li>
<li>Grand Londres</li>
<li>Midi-Pyrénées</li>
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<li>Région Nord (Portugal)</li>
<li>Région de Bruxelles-Capitale</li>
</region>
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<li>Braga</li>
<li>Bruxelles</li>
<li>Brême</li>
<li>Londres</li>
<li>Toulouse</li>
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<li>Université du Minho</li>
<li>Université libre de Bruxelles</li>
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<name sortKey="Hanke, Katja" sort="Hanke, Katja" uniqKey="Hanke K" first="Katja" last="Hanke">Katja Hanke</name>
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</country>
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<noRegion>
<name sortKey="Leong, Chan Hoong" sort="Leong, Chan Hoong" uniqKey="Leong C" first="Chan-Hoong" last="Leong">Chan-Hoong Leong</name>
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<name sortKey="Licata, Laurent" sort="Licata, Laurent" uniqKey="Licata L" first="Laurent" last="Licata">Laurent Licata</name>
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<name sortKey="Klein, Olivier" sort="Klein, Olivier" uniqKey="Klein O" first="Olivier" last="Klein">Olivier Klein</name>
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<region name="Occitanie (région administrative)">
<name sortKey="Hilton, Denis J" sort="Hilton, Denis J" uniqKey="Hilton D" first="Denis J." last="Hilton">Denis J. Hilton</name>
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<name sortKey="Valchev, Velichko" sort="Valchev, Velichko" uniqKey="Valchev V" first="Velichko" last="Valchev">Velichko Valchev</name>
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<region name="Région Nord (Portugal)">
<name sortKey="Cabecinhas, Rosa" sort="Cabecinhas, Rosa" uniqKey="Cabecinhas R" first="Rosa" last="Cabecinhas">Rosa Cabecinhas</name>
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</record>

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HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002619 | SxmlIndent | more

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{{Explor lien
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   |area=    AustralieFrV1
   |flux=    Main
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   |clé=     PMC:4317187
   |texte=   “Heroes” and “Villains” of World History across Cultures
}}

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