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Relevant bibliographies by topics / Gender bias and law

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Academic literature on the topic 'Gender bias and law'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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Journal articles on the topic "Gender bias and law"

1

Sen, Sankar. "Gender Bias in Law Enforcement." Police Journal: Theory, Practice and Principles 66, no. 3 (1993): 310–15. http://dx.doi.org/10.1177/0032258x9306600312.

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Beaumont, Elizabeth. "Gender Justice v. The “Invisible Hand” of Gender Bias in Law and Society." Hypatia 31, no. 3 (2016): 668–86. http://dx.doi.org/10.1111/hypa.12260.

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How does so much gender inequality endure in an era when many laws and policies endorse principles of gender equality? This essay examines this dilemma by considering Susan Moller Okin's criticism of “false gender neutrality,” research on implicit bias, and the shifting relation of gender bias to American law. I argue that these are crucial elements of the modern cycle of gender inequality, enabling it to operate through a perverse “invisible‐hand” mechanism. This framework helps convey how underlying gender bias influences individual behaviors that generate, legitimate, and mask broad pattern

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Resnik, Judith. "Gender Bias: From Classes to Courts." Stanford Law Review 45, no. 6 (1993): 2195. http://dx.doi.org/10.2307/1229145.

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Pelkey, William L., and Michele L. Degrange. "Gender Bias in Field Training Evaluation Programs." Women & Criminal Justice 8, no. 2 (1996): 79–90. http://dx.doi.org/10.1300/j012v08n02_05.

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Riger, Stephanie, Pennie Foster-Fishman, Julie Nelson-Kuna, and Barbara Curran. "Gender bias in courtroom dynamics." Law and Human Behavior 19, no. 5 (1995): 465–80. http://dx.doi.org/10.1007/bf01499338.

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Dalton, Dan R., and Jonathan L. Johnson. "The Iron Law of Paternalism: Gender Bias in Arbitrated Outcomes?" Psychological Reports 77, no. 3 (1995): 1027–30. http://dx.doi.org/10.2466/pr0.1995.77.3.1027.

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We relied on 372 justice procedures in the workplace (arbitral hearings) to assess the viability of the “iron law of paternalism,” a thesis essentially arguing that women will receive more lenient outcomes. With severity of the offense invariant, these data provide no support for this thesis in the workplace.

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Gewin, Virginia. "Gender bias: Citation lag in astronomy." Nature 546, no. 7660 (2017): 693. http://dx.doi.org/10.1038/nj7660-693b.

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McPhail, Beverly A., and Diana M. DiNitto. "Prosecutorial Perspectives on Gender-Bias Hate Crimes." Violence Against Women 11, no. 9 (2005): 1162–85. http://dx.doi.org/10.1177/1077801205277086.

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Hensler, Deborah R. "Studying Gender Bias in the Courts: Stories and Statistics." Stanford Law Review 45, no. 6 (1993): 2187. http://dx.doi.org/10.2307/1229144.

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Harris, Allison P., and Maya Sen. "Bias and Judging." Annual Review of Political Science 22, no. 1 (2019): 241–59. http://dx.doi.org/10.1146/annurev-polisci-051617-090650.

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How do we know whether judges of different backgrounds are biased? We review the substantial political science literature on judicial decision making, paying close attention to how judges' demographics and ideology can influence or structure their decision making. As the research demonstrates, characteristics such as race, ethnicity, and gender can sometimes predict judicial decision making in limited kinds of cases; however, the literature also suggests that these characteristics are far less important in shaping or predicting outcomes than is ideology (or partisanship), which in turn correla

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Dissertations / Theses on the topic "Gender bias and law"

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Lueker, Suzanne J. "Courting gender bias: an examination of women’s experiences in the profession of law in Kansas." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/14062.

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Master of Arts<br>Department of Sociology, Anthropology, and Social Work<br>Gerad Middendorf<br>This study examines the issue of gender bias and other gendering processes within the profession of law in Kansas. Although women have made great strides toward equality within the law profession, there are still glaring disparities between men’s and women’s occupational attainment. Women enter law school at similar rates as men do; however, they are not similarly represented in the legal profession upon graduation, or throughout their careers. Utilizing a theory of gendered organizations, this stud

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Ward, Helen. "The "adequacy of their attention": gender-bias & the introductory law course in Australian law schools /." Title page, contents and abstract only, 1999. http://web4.library.adelaide.edu.au/theses/09LM/09lmw258.pdf.

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Jaffer, Taskeen. "Women’s rights are human rights – a review of gender bias in South African tax law." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/80447.

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The role of taxation in gender inequality is something that is perhaps not considered earnestly enough. Both in South Africa and within the context of global initiatives such as the Convention for the Elimination of All Forms of Discrimination Against Women (CEDAW) and the Sustainable Development Goals (SDG) which are aimed at eradicating all forms of gender-based discrimination, the importance of understanding the gender consequences of tax policy, whether intended or not, should not be underestimated. This study seeks to identify whether or not there are any instances where South Africa’s pe

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Hura, Geraldine M. "The Effects of Rater and Leader Gender on Ratings of Leader Effectiveness and Attributes in a Business Environment." University of Akron / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=akron1134568571.

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梁恆新 and Hang-san Steven Leung. "Gender bias in policing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B42576702.

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Leung, Hang-san Steven. "Gender bias in policing." Click to view the E-thesis via HKUTO, 2002. http://sunzi.lib.hku.hk/hkuto/record/B42576702.

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Ernst, Robert W. Gilbeau Robert J. "Gender bias in the Navy." Monterey, California : Naval Postgraduate School, 1993. http://handle.dtic.mil/100.2/ADA268524.

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Thesis (M.S. in Management)--Naval Postgraduate School, March 2010.<br>Thesis Advisor(s): Barrett, Frank J. : Thomas Fann, Gail. "June 1993." Description based on title screen as viewed on May 20, 2010. DTIC Descriptor(s): Navy, Bias, Women, Sexual Harassment, Military Personnel, Warfare, Theses, Males, Discrimination, Integration, Marine Corps, Environments. DTIC Identifier(s): Gender. Author(s) subject terms: Gender Bias, Sexual Harassment Navy. Includes bibliographical references (p. 115-117). Also available in print.

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Ernst, Robert W., and Robert J. Gilbeau. "Gender bias in the Navy." Thesis, Monterey, California. Naval Postgraduate School, 1993. http://hdl.handle.net/10945/26570.

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Approved for public release; distribution is unlimited.<br>Approved for public release; distribution is unlimited.<br>An investigation of sexual harassment, gender bias, and women in combat was conducted via personal interviews with male Navy and Marine Corps officers. This study, unlike most, addresses these issues from the male perspective. This thesis includes a review of important historical events leading to the integration of women into the military. An explanation of the interview protocol will help show how major themes were obtained in the analysis of data. Problem areas in the Navy e

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鄭建生 and Kin-sang Cheng. "Social theory and gender bias." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31211288.

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Cheng, Kin-sang. "Social theory and gender bias /." Hong Kong : University of Hong Kong, 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13671480.

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Books on the topic "Gender bias and law"

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Stark, Barbara. Family law and gender bias: Comparitive perspectives. JAI, 1993.

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Shaw, Victoria Felice. Coping with sexual harassment and gender bias. Rosen Pub. Group, 2000.

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Coping with sexual harassment and gender bias. Rosen Pub. Group, 1998.

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Gender Bias Task Force of Texas. The Gender Bias Task Force of Texas: Final report. The Department, 1994.

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Boyd, Susan B. Investigating gender bias in Canadian child custody law: Reflections on questions and methods. Faculty of Law, University of Toronto, 1992.

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K, Knoebel Dixie, Roberts Marilyn McCoy, National Association of Women Judges (U.S.), William Bingham Foundation, and National Center for State Courts., eds. Proceedings of the National Conference on Gender Bias in the Courts. The Center, 1990.

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Western Australia. Chief Justice's Taskforce on Gender Bias. Report of Chief Justice's Taskforce on Gender Bias, 30 June 1994. Chief Justice of Western Australia, 1994.

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Commission, Florida Supreme Court Gender Bias Study. Report of the Florida Supreme Court Gender Bias Study Commission: March 1990. Florida Supreme Court, 1990.

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Special Joint Committee on Gender Bias in the Courts (Maryland). Report of the Special Joint Committee on Gender Bias in the Courts. The Committee, 1989.

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Gender bias and the state: Symbolic reform at work in Fifth Republic France. University of Pittsburgh Press, 1995.

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Book chapters on the topic "Gender bias and law"

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Grossman, Joanna L. "Gender Bias and the Law." In ACS Symposium Series. American Chemical Society, 2020. http://dx.doi.org/10.1021/bk-2020-1354.ch009.

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Plumm, Karyn M., and Kristen N. Leighton. "Sexual Orientation and Gender Bias Motivated Violent Crime." In Advances in Psychology and Law. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11042-0_6.

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Isaakyan, Irina, and Anna Triandafyllidou. "“Enchanted with Europe”: Family Migration and European Law on Labour-Market Integration." In IMISCOE Research Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67284-3_5.

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AbstractThis chapter explores the European legal platform for alleviating the main barriers in the labor market integration of dependent family migrants in the EU. Namely, the chapter looks at the work of the European Court of Justice (ECJ) in relation to cases that involve recognition of professional qualifications and establishment of residence status. The study looks at how family reunification provisions, EU citizen status and in particular provisions for EU citizens and their family members when they move to another Member State, affect indirectly the status situation of third country nationals and their labour market integration by facilitating or hampering the recognition of their skills. This chapter is based on desk research, notably literature review (including published reports from the SIRIUS research) and analysis of legislative documents (EU Directives and ECJ case-law). We specifically look at the ECJ case-law on status and recognition and at related Directives involving family migrants. We study conditions under which the ECJ makes a decision in favour of the migrant-plaintiff. The discussion of our findings shows a complex interplay between family migration, gender bias and European law.

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Yu, Georgia. "Gender Bias." In Encyclopedia of Cross-Cultural School Psychology. Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-71799-9_180.

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Fairholm, Ian. "Gender Bias." In Issues, Debates and Approaches in Psychology. Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-0-230-36368-7_6.

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Marwick, Thomas H., and Jonathan Chan. "Gender Bias." In Coronary Disease in Women. Humana Press, 2004. http://dx.doi.org/10.1007/978-1-59259-645-4_22.

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Hansen, Kim. "Gender Bias." In Decision Making in Emergency Medicine. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0143-9_27.

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Giacobbe, Mirco, Thomas A. Henzinger, and Mathias Lechner. "How Many Bits Does it Take to Quantize Your Neural Network?" In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45237-7_5.

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Abstract Quantization converts neural networks into low-bit fixed-point computations which can be carried out by efficient integer-only hardware, and is standard practice for the deployment of neural networks on real-time embedded devices. However, like their real-numbered counterpart, quantized networks are not immune to malicious misclassification caused by adversarial attacks. We investigate how quantization affects a network’s robustness to adversarial attacks, which is a formal verification question. We show that neither robustness nor non-robustness are monotonic with changing the number of bits for the representation and, also, neither are preserved by quantization from a real-numbered network. For this reason, we introduce a verification method for quantized neural networks which, using SMT solving over bit-vectors, accounts for their exact, bit-precise semantics. We built a tool and analyzed the effect of quantization on a classifier for the MNIST dataset. We demonstrate that, compared to our method, existing methods for the analysis of real-numbered networks often derive false conclusions about their quantizations, both when determining robustness and when detecting attacks, and that existing methods for quantized networks often miss attacks. Furthermore, we applied our method beyond robustness, showing how the number of bits in quantization enlarges the gender bias of a predictor for students’ grades.

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Denmark, Florence L., and Deborah Williams. "Gender Bias, Overview." In Encyclopedia of Critical Psychology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-5583-7_430.

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Healy, Geraldine, Marco Peruzzi, and Magdalena Półtorak. "Avoiding gender bias." In The Gender Pay Gap and Social Partnership in Europe. Routledge, 2018. http://dx.doi.org/10.4324/9781315184715-6.

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Conference papers on the topic "Gender bias and law"

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Shi, Siti Kholisoh, and Heru Susetyo. "Gender Bias in Combating Terrorism: A Case Study of Returnee Families." In 3rd International Conference on Law and Governance (ICLAVE 2019). Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200321.035.

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Zhou, Pei, Weijia Shi, Jieyu Zhao, et al. "Examining Gender Bias in Languages with Grammatical Gender." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1531.

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Rudinger, Rachel, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme. "Gender Bias in Coreference Resolution." In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/n18-2002.

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Leavy, Susan. "Gender bias in artificial intelligence." In ICSE '18: 40th International Conference on Software Engineering. ACM, 2018. http://dx.doi.org/10.1145/3195570.3195580.

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Dinan, Emily, Angela Fan, Ledell Wu, Jason Weston, Douwe Kiela, and Adina Williams. "Multi-Dimensional Gender Bias Classification." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.23.

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Chaloner, Kaytlin, and Alfredo Maldonado. "Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word Categories." In Proceedings of the First Workshop on Gender Bias in Natural Language Processing. Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-3804.

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Gündüzler, Ulaş. "Contribution of EU Law to Gender Equality." In 7th International Conference on Gender Studies: Gender, Space, Place & Culture. Eastern Mediterranean University, 2019. http://dx.doi.org/10.33831/gspc19/664-680/41.

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Cho, Won Ik, Ji Won Kim, Seok Min Kim, and Nam Soo Kim. "On Measuring Gender Bias in Translation of Gender-neutral Pronouns." In Proceedings of the First Workshop on Gender Bias in Natural Language Processing. Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-3824.

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Stanovsky, Gabriel, Noah A. Smith, and Luke Zettlemoyer. "Evaluating Gender Bias in Machine Translation." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/p19-1164.

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Gala, Dhruvil, Mohammad Omar Khursheed, Hannah Lerner, Brendan O’Connor, and Mohit Iyyer. "Analyzing Gender Bias within Narrative Tropes." In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.nlpcss-1.23.

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Reports on the topic "Gender bias and law"

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Crowell, Robin. Gender Bias and the Evaluation of Players: Voice and Gender in Narrated Gameplay Videos. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.3150.

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Evans, Jasmine, Amanda Koepke, Steven P. Lund, and Mary F. Theofanos. Examining Recent HR Data for Gender Bias Among Federal Employees at NIST. National Institute of Standards and Technology, 2021. http://dx.doi.org/10.6028/nist.ir.8363.

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Bassi, Marina, Rae Lesser Blumberg, and Mercedes Mateo Díaz. Under the "Cloak of Invisibility": Gender Bias in Teaching Practices and Learning Outcomes. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0000446.

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Ciudad, Pablo, Beatriz Fernández, and Ana Belén Guisado. Gender bias in clinical trials of biological agents for severe asthma: A systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.1.0020.

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Al-Nassir, Fawzi, Eric Falk, Owen Hung, et al. 2012 Workplace and Gender Relations Survey of Active Duty Members: Nonresponse Bias Analysis Report. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada593110.

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Persico, Nicola, and Petra Todd. Using Hit Rate Tests to Test for Racial Bias in Law Enforcement: Vehicle Searches in Wichita. National Bureau of Economic Research, 2004. http://dx.doi.org/10.3386/w10947.

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Diprose, Rachael, Amalinda Savirani, Ken M. P. Setiawan, and Naomi Francis. Women’s Collective Action and the Village Law: How Women are Driving Change and Shaping Pathways for Gender-inclusive Development in Rural Indonesia. University of Melbourne with Universitas Gadjah Mada and MAMPU, 2020. http://dx.doi.org/10.46580/124326.

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This study on Women’s Collective Action and the Village Law seeks to understand in what contexts, to what extent and through what mechanisms has local collective action by women influenced the implementation of the Village Law. And, what has been the role for CSOs in this process. The study draws on research conducted in nine provinces, 12 districts, and 14 villages—from Sumatra, to Java, to Kalimantan, Sulawesi, and East and West Nusa Tenggara.

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Diprose, Rachael, Amalinda Savirani, Ken M. P. Setiawan, and Naomi Francis. Women’s Collective Action and the Village Law: How Women are Driving Change and Shaping Pathways for Gender-inclusive Development in Rural Indonesia. University of Melbourne with Universitas Gadjah Mada and MAMPU, 2020. http://dx.doi.org/10.46580/124326.

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This study on Women’s Collective Action and the Village Law seeks to understand in what contexts, to what extent and through what mechanisms has local collective action by women influenced the implementation of the Village Law. And, what has been the role for CSOs in this process. The study draws on research conducted in nine provinces, 12 districts, and 14 villages—from Sumatra, to Java, to Kalimantan, Sulawesi, and East and West Nusa Tenggara.

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Punjabi, Maitri, Julianne Norman, Lauren Edwards, and Peter Muyingo. Using ACASI to Measure Gender-Based Violence in Ugandan Primary Schools. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.rb.0025.2104.

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School-related gender-based violence (SRGBV) remains difficult to measure because of high sensitivity and response bias. However, most SRGBV measurement relies on face-to-face (FTF) survey administration, which is susceptible to increased social desirability bias. Widely used in research on sensitive topics, Audio Computer-Assisted Self-Interview (ACASI) allows subjects to respond to pre-recorded questions on a computerized device, providing respondents with privacy and confidentiality. This brief contains the findings from a large-scale study conducted in Uganda in 2019 where primary grade 3

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Giles Álvarez, Laura, and Jeetendra Khadan. Mind the Gender Gap: A Picture of the Socioeconomic Trends Surrounding COVID-19 in the Caribbean with a Gender Lens. Inter-American Development Bank, 2020. http://dx.doi.org/10.18235/0002961.

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This paper provides an insight on the gender impact of the COVID-19 pandemic in the Caribbean. The analysis makes use of the April 2020 online COVID-19 survey that the Inter-American Development conducted in all six Caribbean Country Department member countries. We find that the pandemic is having different effects on men and women. For example, job losses have been more prevalent amongst single-females, whilst business closures have been more prevalent amongst single-males. Quality of life also seems to have worsened more for single-females than for single-males and partners (married or commo

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