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Leveraging unsupervised machine learning to examine women's vulnerability to climate change.

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Title: Leveraging unsupervised machine learning to examine women's vulnerability to climate change.
Authors: Caruso, German1 (AUTHOR), Mueller, Valerie2,3 (AUTHOR) vmuelle1@asu.edu, Villacis, Alexis4 (AUTHOR)
Source: Applied Economic Perspectives & Policy. Dec2024, Vol. 46 Issue 4, p1355-1378. 24p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 180900098
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PubType: Academic Journal
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  Data: Leveraging unsupervised machine learning to examine women's vulnerability to climate change.
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  Data: <searchLink fieldCode="AR" term="%22Caruso%2C+German%22">Caruso, German</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mueller%2C+Valerie%22">Mueller, Valerie</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> vmuelle1@asu.edu</i><br /><searchLink fieldCode="AR" term="%22Villacis%2C+Alexis%22">Villacis, Alexis</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Applied+Economic+Perspectives+%26+Policy%22">Applied Economic Perspectives & Policy</searchLink>. Dec2024, Vol. 46 Issue 4, p1355-1378. 24p.
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        Value: 10.1002/aepp.13444
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 1355
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      – TitleFull: Leveraging unsupervised machine learning to examine women's vulnerability to climate change.
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            NameFull: Caruso, German
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            NameFull: Mueller, Valerie
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            NameFull: Villacis, Alexis
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              M: 12
              Text: Dec2024
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              Y: 2024
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            – TitleFull: Applied Economic Perspectives & Policy
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