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  <doi_batch_id>aspg-21-2772-1791472331</doi_batch_id>
  <timestamp>20261008151211</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Neutrosophic Science</full_title>
    <abbrev_title>IJNS</abbrev_title>
    <issn media_type="print">2692-6148</issn>
    <issn media_type="electronic">2690-6805</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>24</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Applying Neutrosophic Chi-Square Test and Social Structures to Analyze Gender Parity</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ketty M.</given_name>
      <surname>Moscoso-Paucarchuco</surname>
      <affiliations>
       <institution>
        <institution_name>Universidad Nacional Autónoma Altoandina de Tarma, Perú</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Michael R.</given_name>
      <surname>Vásquez-Ramírez</surname>
      <affiliations>
       <institution>
        <institution_name>Universidad Peruana los Andes, Perú</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Percy T.</given_name>
      <surname>Avila-Zanabria</surname>
      <affiliations>
       <institution>
        <institution_name>Universidad Peruana los Andes, Perú</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Kathy L.</given_name>
      <surname>Javier-Palacios</surname>
      <affiliations>
       <institution>
        <institution_name>Universidad Peruana los Andes, Perú</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Paul C.</given_name>
      <surname>Calderon-Fernandez</surname>
      <affiliations>
       <institution>
        <institution_name>Universidad Peruana los Andes, Perú</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This paper examines the disparities in job opportunities and social prosperity based on gender within Peruvian universities, particularly focusing on the Universidad Peruana Los Andes during 2021-2022. Utilizing Neutrosophic Social Structures and the Neutrosophic 2-tuples Technique, we statistically analyze the entrenched biases that categorize careers by gender, contributing to power imbalances and unequal employment rates between men and women. By modeling student data through intervals or neutrosophic numbers as per Smarandache's theory, we address the unique engagement of each student with their academic environment. Neutrosophic contingency tables are employed to present this data, and a neutrosophic chi-square test is applied to examine the correlation between students' gender and their major fields of study, which include Administrative and Accounting Sciences, Health Sciences, Law and Political Sciences, Engineering Sciences, and Pedagogical Sciences. This neutrosophic approach allows for a nuanced understanding of the indeterminate and complex nature of social phenomena, providing a clearer insight into gender parity in academic professional development.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>22</first_page>
     <last_page>228</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2772</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/IJNS.240219</doi>
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