Hasil untuk "Women. Feminism"

Sara McLanahan

A. Jagose

Rosalind Gill

Abstract This article contributes to debates about the value and utility of the notion of postfeminism for a seemingly “new” moment marked by a resurgence of interest in feminism in the media and among young women. The paper reviews current understandings of postfeminism and criticisms of the term’s failure to speak to or connect with contemporary feminism. It offers a defence of the continued importance of a critical notion of postfeminism, used as an analytical category to capture a distinctive contradictory-but-patterned sensibility intimately connected to neoliberalism. The paper raises questions about the meaning of the apparent new visibility of feminism and highlights the multiplicity of different feminisms currently circulating in mainstream media culture—which exist in tension with each other. I argue for the importance of being able to “think together” the rise of popular feminism alongside and in tandem with intensified misogyny. I further show how a postfeminist sensibility informs even those media productions that ostensibly celebrate the new feminism. Ultimately, the paper argues that claims that we have moved “beyond” postfeminism are (sadly) premature, and the notion still has much to offer feminist cultural critics.

P. Collins

Angela Mcrobbie

Shirlene Rose Bandela, Sanjeev Parthasarathy, Vaibhav Garg

Warning: This paper may contain examples and topics that may be disturbing to some readers, especially survivors of miscarriage and sexual violence. People affected by abortion, miscarriage, or sexual violence often share their experiences on social media to express emotions and seek support. On public platforms like Reddit, where users can post long, detailed narratives (up to 40,000 characters), readers may be exposed to distressing content. Although Reddit allows manual trigger warnings, many users omit them due to limited awareness or uncertainty about which categories apply. There is scarcity of datasets on Reddit stories labeled for triggering experiences. We propose a curated Reddit dataset, TWeddit, covering triggering experiences related to issues majorly faced by women. Our linguistic analyses show that annotated stories in TWeddit express distinct topics and moral foundations, making the dataset useful for a wide range of future research.

Gavin Cook

Given the recent targeting of Chinese scientists by the Department of Justice and sizable contributions of Chinese scientists to American science, it is urgent to investigate the presence and the particulars of anti-Chinese discrimination in the American academy. Across a sample of all faculty in the top 100 departments of sociology, economics, chemistry, and physics in the United States, we show that female Chinese scientists comprise a much higher percentage of the female professoriate than male Chinese scientists in the male professoriate. Using an exact matching approach, we then find that male Chinese scientists suffer from a dramatic citation penalty but that female Chinese scientists enjoy a persistent citation bonus. On average, female Chinese scientists require fewer citations on average than non-Chinese women where male Chinese scientists require more citations than their non-Chinese counterparts to attain a tenure-track professorial job of a given prestige rating.

Lucile Quéré

Alysa Malespina, Fargol Seifollahi, Chandralekha Singh

Test anxiety is beginning to be recognized as a significant factor affecting student performance in science, technology, engineering, and mathematics (STEM) courses, potentially contributing to gender inequity within these fields. Additionally, the management of test anxiety can improve self-efficacy, which is a construct that has been well studied in the physics context. In this study, we investigated the relationship between self-efficacy, test anxiety, and gender differences in performance in a two-semester-long introductory physics course sequence for bioscience students in which women outnumber men. Using validated survey data and grade information from students in a two-semester introductory physics course sequence, we compared the predictive power of self-efficacy and test anxiety on female and male students' performance on both low- and high-stakes assessments. We found that there were gender differences disadvantaging women in self-efficacy and test anxiety in both Physics 1 and Physics 2, as well as gender differences in high-stakes outcomes in Physics 1. There were no gender differences in low-stakes assessment scores. We also found that self-efficacy and test anxiety predicted high-stakes (but not low-stakes) assessment outcomes in both Physics 1 and Physics 2. Comparison of these findings with prior studies involving physical science and engineering students shows that although women outnumber men in physics courses for bioscience students and the career goals of bioscience students are very different from the earlier researched group, most of the negative trends hold even for this new population.

Kinga Skiers, Yun Suen Pai, Marina Nakagawa et al.

Neurodivergent individuals, particularly those with Autism and Attention Deficit Hyperactivity Disorder (ADHD), frequently experience anxiety, panic attacks, meltdowns, and emotional dysregulation due to societal pressures and inadequate accommodations. These challenges are especially pronounced for neurodivergent women and non-binary individuals navigating intersecting barriers of neurological differences and gender expectations. This research investigates virtual reality (VR) as a portable safe space for emotional regulation, addressing challenges of sensory overload and motion sickness while enhancing relaxation capabilities. Our mixed-methods approach included an online survey (N=223) and an ideation workshop (N=32), which provided key design elements for creating effective calming VR environments. Based on these findings, we developed and iteratively tested VR prototypes with neurodivergent women and non-binary participants (N=12), leading to a final version offering enhanced adaptability to individual sensory needs. This final prototype underwent a comprehensive evaluation with 25 neurodivergent participants to assess its effectiveness as a regulatory tool. This research contributes to the development of inclusive, adaptive VR environments that function as personalized "portable silent rooms" offering neurodivergent individuals on-demand access to sensory regulation regardless of physical location.

Gustavo Bonil, João Gondim, Marina dos Santos et al.

This study investigates how large language models, in particular LLaMA 3.2-3B, construct narratives about Black and white women in short stories generated in Portuguese. From 2100 texts, we applied computational methods to group semantically similar stories, allowing a selection for qualitative analysis. Three main discursive representations emerge: social overcoming, ancestral mythification and subjective self-realization. The analysis uncovers how grammatically coherent, seemingly neutral texts materialize a crystallized, colonially structured framing of the female body, reinforcing historical inequalities. The study proposes an integrated approach, that combines machine learning techniques with qualitative, manual discourse analysis.

Claudia dAmato, Giuseppe Rubini, Francesco Didio et al.

Legal decision-making process requires the availability of comprehensive and detailed legislative background knowledge and up-to-date information on legal cases and related sentences/decisions. Legal Knowledge Graphs (KGs) would be a valuable tool to facilitate access to legal information, to be queried and exploited for the purpose, and to enable advanced reasoning and machine learning applications. Indeed, legal KGs may act as knowledge intensive component to be used by pre-dictive machine learning solutions supporting the decision process of the legal expert. Nevertheless, a few KGs can be found in the legal domain. To fill this gap, we developed a legal KG targeting legal cases of violence against women, along with clear adopted methodologies. Specifically, the paper introduces two complementary approaches for automated legal KG construction; a systematic bottom-up approach, customized for the legal domain, and a new solution leveraging Large Language Models. Starting from legal sentences publicly available from the European Court of Justice, the solutions integrate structured data extraction, ontology development, and semantic enrichment to produce KGs tailored for legal cases involving violence against women. After analyzing and comparing the results of the two approaches, the developed KGs are validated via suitable competency questions. The obtained KG may be impactful for multiple purposes: can improve the accessibility to legal information both to humans and machine, can enable complex queries and may constitute an important knowledge component to be possibly exploited by machine learning tools tailored for predictive justice.

Chase Hatcher, Lily Donis, Adrienne Traxler et al.

Social network analysis (SNA) has been widely used in physics education research (PER) in recent years, but mostly in a limited range of the available modalities. This paper describes a unique approach to egocentric, mixed-methods SNA applied to qualitative network data obtained from 100 interviews with women and/or queer professional physicists. We focus on our methods for obtaining quantitative network data from these qualitative sources and present novel techniques for analysis of the networks. We also examine the ways in which egocentric and mixed-methods SNA techniques are aligned with critical methods and well-suited to the study of difference, non-normativity, and experiences of marginalization in physics spaces and communities. We explore the limitations and potential applications of these methods and situate this work in the larger context of our study of these interviews. This work bridges a methodological gap between SNA and qualitative work on identity in PER and begins to develop our understanding of the way gender and sexual minority physicists experience support.

E. Bernstein

Devin Tebbe, Meryem Barkallah, Braeden Burger et al.

Virtual reality (VR) dating introduces novel opportunities for romantic interactions, but it also raises concerns about new harms that typically occur separately in traditional dating apps and general-purpose social VR environments. Given the subjectivity in which VR dating experiences can be considered harmful it is imperative to involve user stakeholders in anticipating harms and formulating preventative designs. Towards this goal with conducted participatory design workshops with 17 stakeholders identified as women and/or LGBTQIA+; demographics that are at elevated risk of harm in online dating and social VR. Findings reveal that participants are concerned with two categories of harm in VR dating: those that occur through the transition of interaction across virtual and physical modalities, and harms stemming from expectations of sexual interaction in VR.

Thorsten Emig, Guillaume Adam

Running world records (WRs) contain information about physiological characteristics that determine running performance. The progression of WRs over time encode the evolution of these characteristics. Here we demonstrate that a previously established model for running performance describes WRs since 1918 for men and since 1984 for women with high accuracy. The physiological parameters extracted from WR for each year are interpreted in terms of historical changes in training approaches and corresponding physiological adaptions, technological progress, social effects, and also the use of performance enhancing drugs. While the last two decades had witnessed stagnation of WRs, recent improvements in endurance have enable new WRs, presumably aided by recent technological advancements.

Saba Khaliq

This paper is a materialist feminist study of Pakistani writer, Faseeh Bari Khan’s comedic telefilm, “Burns Road Ki Nilofer”, translated as “Nilofer of Burns Road”. A recurrent motif in Pakistani comedic telefilms is of women, both married and single, portrayed as beasts with voracious appetites and insatiable consumption patterns. This paper expounds how Khan’s female characters are portrayed as women of agency who, by claiming the right to comment on the desiring, economy and distribution of food, rise beyond their stereotypical representations of gluttonous eaters. Following Lisa Angelella’s scholarship on food and feminism, I posit that both Nilofer and her mother, Saeeda, try to negotiate their sense of selfhood and approach what it means to be a woman and a human via their conversations on food in the telefilm. My research aims to unravel the underlying dominant factor in their crippled sense of self while also retaining within it a muffled identification of female agency when the female characters consume as per their desiring. The void that women wish to fill while devouring great amounts of food, is occasioned by the absence of women’s positionality as a class in a patriarchal capitalist society where, as materialist feminist scholar Christine Delphy propounds, they are not made part of the system of “exchange of values” despite their domestic “labor” (“The Main Enemy” 73). Thus, this research reimagines womanhood and women’s exploitation in a domestic mode of production within Pakistani patriarchal capitalist cartographies. Keywords: Materialist feminism, feminist food studies, Pakistani television, female selfhood, female appetite

Ayse Arik, Andrew J. G. Cairns, Erengul Dodd et al.

We propose a methodology to quantify the impact on breast cancer mortality of diagnostic delays caused by public health measures introduced as a response to the COVID-19 pandemic. These measures affected cancer pathways by halting cancer screening, delaying diagnostic tests, and reducing the numbers of patients starting treatment. We introduce a semi-Markov model, to quantify the impact of the pandemic based on publicly available population data for women age 65{89 years in England and relevant medical literature. We quantify age-specific excess deaths, for a period up to 5 years, along with years of life expectancy lost and change in cancer mortality by cancer stage. Our analysis suggests a 3-6% increase in breast cancer deaths, corresponding to more than 40 extra deaths, per 100,000 women, after age 65 years old over 5 years, and a 4-6% increase in registrations of advanced (Stage 4) breast cancer. Our modelling approach exhibits consistent results in sensitivity analyses, providing a model that can account for changes in breast cancer diagnostic and treatment services.

Ahmed Sabir, Lluís Padró

In this paper, we investigate the impact of objects on gender bias in image captioning systems. Our results show that only gender-specific objects have a strong gender bias (e.g., women-lipstick). In addition, we propose a visual semantic-based gender score that measures the degree of bias and can be used as a plug-in for any image captioning system. Our experiments demonstrate the utility of the gender score, since we observe that our score can measure the bias relation between a caption and its related gender; therefore, our score can be used as an additional metric to the existing Object Gender Co-Occ approach. Code and data are publicly available at \url{https://github.com/ahmedssabir/GenderScore}.

Matthew Richard, Jennifer Delgado, Sarah LeGresley et al.

We present a model for competency-based grading for calculus-based introductory physics that encourages students to obtain proficiency with all course content. By allowing students to continually improve their proficiency with skills and content throughout the semester, this formative grading system is designed to create a more flexible learning environment that better accommodates the varying schedules and needs of students. While all students show improvement in their performance following the implementation of this grading system, the largest gains were found for women and first generation students, both of whom often pose a retention risk in science and engineering degree programs.