Women's Development and Childcare Support in the Outline for Women's Development in China: A Python-Based Policy Evolution Study.

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Title: Women's Development and Childcare Support in the Outline for Women's Development in China: A Python-Based Policy Evolution Study.
Authors: Yu, Dan1 (AUTHOR) jasmineyu0209@gmail.com
Source: Australian Feminist Studies. Dec2025, Vol. 40 Issue 126, p450-472. 23p.
Subject Terms: *Child support, *Gender inequality, *Policy sciences, *Family support, *Data analysis, Women in development, Self-efficacy, Social processes
Geographic Terms: China
Abstract: This study investigates the evolution of the Outline for Women's Development in China (1995–2021) by using Python, with particular attention to the changing policy orientation towards childcare support. By categorising support into economic, service, and institutional dimensions, the study highlights a gradual expansion of care-related content and the increasing recognition of shared family responsibility, especially male participation. The analysis also reveals stable core concepts, such as rights, protection, and participation, alongside evolving emphases on health, education, and legal mechanisms. Drawing on national social survey data, the paper further reflects changes in women's perceptions of gender equality and self-empowerment. This study concludes that while China's gender policy framework has become more inclusive and responsive, especially in care-related fields, gaps remain in implementation and detailed planning, calling for further alignment between policy design and women's lived experiences. And the application of Python enhances analytical transparency and scalability, offering a replicable method for future policy research. [ABSTRACT FROM AUTHOR]
Copyright of Australian Feminist Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Women's Development and Childcare Support in the Outline for Women's Development in China: A Python-Based Policy Evolution Study.
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  Data: <searchLink fieldCode="JN" term="%22Australian+Feminist+Studies%22">Australian Feminist Studies</searchLink>. Dec2025, Vol. 40 Issue 126, p450-472. 23p.
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  Data: *<searchLink fieldCode="DE" term="%22Child+support%22">Child support</searchLink><br />*<searchLink fieldCode="DE" term="%22Gender+inequality%22">Gender inequality</searchLink><br />*<searchLink fieldCode="DE" term="%22Policy+sciences%22">Policy sciences</searchLink><br />*<searchLink fieldCode="DE" term="%22Family+support%22">Family support</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Women+in+development%22">Women in development</searchLink><br /><searchLink fieldCode="DE" term="%22Self-efficacy%22">Self-efficacy</searchLink><br /><searchLink fieldCode="DE" term="%22Social+processes%22">Social processes</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
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  Data: This study investigates the evolution of the Outline for Women's Development in China (1995–2021) by using Python, with particular attention to the changing policy orientation towards childcare support. By categorising support into economic, service, and institutional dimensions, the study highlights a gradual expansion of care-related content and the increasing recognition of shared family responsibility, especially male participation. The analysis also reveals stable core concepts, such as rights, protection, and participation, alongside evolving emphases on health, education, and legal mechanisms. Drawing on national social survey data, the paper further reflects changes in women's perceptions of gender equality and self-empowerment. This study concludes that while China's gender policy framework has become more inclusive and responsive, especially in care-related fields, gaps remain in implementation and detailed planning, calling for further alignment between policy design and women's lived experiences. And the application of Python enhances analytical transparency and scalability, offering a replicable method for future policy research. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Australian Feminist Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/08164649.2025.2515537
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 450
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      – SubjectFull: Child support
        Type: general
      – SubjectFull: Gender inequality
        Type: general
      – SubjectFull: Policy sciences
        Type: general
      – SubjectFull: Family support
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Women in development
        Type: general
      – SubjectFull: Self-efficacy
        Type: general
      – SubjectFull: Social processes
        Type: general
      – SubjectFull: China
        Type: general
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      – TitleFull: Women's Development and Childcare Support in the Outline for Women's Development in China: A Python-Based Policy Evolution Study.
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              M: 12
              Text: Dec2025
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              Y: 2025
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