scholarly journals COVID-19 and Masculinities in Global Perspective: Reflections from Promundo’s Research and Activism

2021 ◽  
pp. 1097184X2110003
Author(s):  
Gary Barker ◽  
Stephen Burrell ◽  
Sandy Ruxton

COVID-19 has affected individuals and communities in gendered ways. A spike in men’s violence against women has been documented in multiple settings.  Women have faced disproportionate job losses in many countries. Men have died at higher rates from COVID-19 for both biological and social causes. Masculinist responses by some national leaders, and men’s lower propensity to adhere to COVID-19 related health recommendations are also gendered. Research further confirms that both women and men in the context of heterosexual households increased their time devoted to unpaid care, even as women’s increases were generally higher. In the face of these challenges some NGOs increased programming to engage men in violence prevention and carried out advocacy to promote men’s more equitable participation in unpaid care work.  As the world recovers from the pandemic in 2021, an understanding of how masculinities and gender norms and power dynamics affect recover will be vital.

Author(s):  
Ito Peng ◽  
Jiweon Jun

The COVID-19 pandemic has emphasised the importance of care and care work, and exposed pre-existing inequalities. Our survey of the impacts of COVID-19 on parents with small children in South Korea reveals that mothers were much more likely to bear the increased burden of childcare than fathers, which, in turn, had direct and negative impacts on their well-being. We discuss how South Korea’s dualised labour market, gender-biased employment practice, social norms about childcare and instrumental approach to family and care policies may have contributed to the persistent unequal distribution of unpaid care work within households and gender inequality.


2021 ◽  
Author(s):  
Ruth Oloo ◽  
Amber Parkes

Care work is the heartbeat of every society: it contributes to our wellbeing as a nation and is crucial for our social and economic development. Yet the disproportionate responsibility for unpaid care work results in time poverty and significant opportunity costs, particularly among the poorest and most marginalized women and girls. This policy brief outlines why unpaid care work is a critical development, economic and gender equality issue for Kenya. It draws on two sets of evidence from Oxfam’s Women’s Economic Empowerment and Care (WE-Care) programme, which explore the impact of women and girls’ heavy and unequal unpaid care responsibilities both before and during COVID-19.


2009 ◽  
Vol 16 (1) ◽  
pp. 35
Author(s):  
Amanda Cherrin

Traditional divisions of household labor have contributed to power dynamics and gender norms that exacerbate family violence and place the responsibility of care on women. As a result, American families today face separate but related problems in the care gap and the domestic violence epidemic. Using feminist economics as a theoretical framework, this paper examines policy responses to both the care gap and domestic violence that seek to address the common problem of unbalanced gender relations, with the shared solution of increased male care work. It specifically focuses on family and paternity leave programs and care work–oriented domestic violence prevention initiatives, arguing that male care work has the potential to help repair the damaged gender relations that contribute to the overlapping problems of the care gap and domestic violence through the creation and promotion of more respectful, egalitarian relationships.


2020 ◽  
Vol 2020 (11) ◽  
pp. 267-1-267-8
Author(s):  
Mitchell J.P. van Zuijlen ◽  
Sylvia C. Pont ◽  
Maarten W.A. Wijntjes

The human face is a popular motif in art and depictions of faces can be found throughout history in nearly every culture. Artists have mastered the depiction of faces after employing careful experimentation using the relatively limited means of paints and oils. Many of the results of these experimentations are now available to the scientific domain due to the digitization of large art collections. In this paper we study the depiction of the face throughout history. We used an automated facial detection network to detect a set of 11,659 faces in 15,534 predominately western artworks, from 6 international, digitized art galleries. We analyzed the pose and color of these faces and related those to changes over time and gender differences. We find a number of previously known conventions, such as the convention of depicting the left cheek for females and vice versa for males, as well as unknown conventions, such as the convention of females to be depicted looking slightly down. Our set of faces will be released to the scientific community for further study.


2008 ◽  
Vol 11 (4) ◽  
Author(s):  
Katrina A. Meyer

Thirteen students in a graduate-level course on Historical and Policy Perspectives in Higher Education held face-to-face and online discussions on five controversial topics: Diversity, Academic Freedom, Political Tolerance, Affirmative Action, and Gender. Students read materials on each topic and generated questions for discussion that were categorized by Bloom’s taxonomy so that the level of questions in the two discussion settings would be closely parallel. Upon completion of each discussion, they answered questions that addressed depth and length of the discussion, ability to remember, and a self-assessment of how the student learned. Students’ assessments show a consistent preference for the face-to-face discussion but a small number of students preferred the online setting. However, what is perhaps more interesting is a minority of approximately one-third of the students who perceived no difference between the settings, or that the two settings were perhaps complementary.


Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches.


2020 ◽  
pp. 194338752094933
Author(s):  
Gabriela Mayrink ◽  
Stella Araújo ◽  
Laisa Kindely ◽  
Renato Marano ◽  
Aguimar Bourguinon de Mattos Filho ◽  
...  

Study Design: Violence against women is a challenge in public health. It involves women of all ages, socioeconomic statuses, cultures, and religions. Objective: The objective of this study was to perform an epidemiological survey of facial trauma among women who experienced physical aggression by an intimate partner. Methods: Electronic medical records from a public tertiary referral hospital for trauma in the Brazilian state of Espírito Santo were analyzed between 2013 and 2018. Results: Patients were most commonly between 20 and 29 years of age (33.9%), and 50% of the patients were of mixed race. When separated by days of the week, facial trauma was most commonly inflicted on Sundays (24.2%) and on Saturdays (22.6%). Of the 62 women included in the study, 47 had facial fractures, and 7 had more than 1 concomitant fracture. Forty of the total fractures (72.7%) were on the middle and upper thirds of the face, while 15 fractures (27.3%) were on the lower third of the face. The most commonly observed signs and symptoms of these injuries were edema (56.5%), periorbital ecchymosis (35.5%), deviated nasal dorsum (22.6%), and hematoma (16.1%). Conclusions: Facial trauma may be considered an important marker of attempted femicide. Health care professionals must be aware of and attentive to this correlation, since many cases of attempted femicide go unnoticed or are attributed to another etiology.


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