The moment of casting is a crucial one in any media production. Casting the ‘right’ person shapes the narrative as much as the way in which the final product might be received by critics and audiences. For this article, casting—as the moment in which gender is hypervisible in its complex intersectional entanglement with class, race and sexuality—will be our gateway to exploring the dynamics of discussion of gender conventions and how we, as feminist scholars, might manoeuvre. To do so, we will test and triangulate three different forms of ethnographically inspired inquiry: 1) ‘collaborative autoethnography,’ to discuss male-to-female gender-bending comedies from the 1980s and 1990s, 2) ‘netnography’ of online discussions about the (potential) recasting of gendered legacy roles from Doctor Who to Mary Poppins, and 3) textual media analysis of content focusing on the casting of cisgender actors for transgender roles. Exploring the affordances and challenges of these three methods underlines the duty of care that is essential to feminist audience research. Moving across personal and anonymous, ‘real’ and ‘virtual,’ popular and professional discussion highlights how gender has been used and continues to be instrumentalised in lived audience experience and in audience research.
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Questions we care about (objectives) This study contributes to the body of knowledge of entrepreneurial educators’ strategies to work towards gender inclusion in entrepreneurial education (EE). By illustrating how gender stereotypes and gender bias are constructed and reconstructed in EE. An important insight is taken from the study by (Jones, 2014), this author shows that entrepreneurs are presented in EE as a homogeneous group with similar character traits and an equal 'entrepreneurial mindset' (p. 244). This description portraits a right way to be an entrepreneur which is traditionally been associated with a white western man, masculine behaviour and masculine abilities (Jones, 2014). As a consequence, a paradox in EE appears; training and education reduces the gender gap on the one hand (Cheraghi and Schøtt, 2015), but at the same time it is also the place where the gender gap is maintained because these gender stereotypes are intertwined in this training and education (Korhonen, Komulainen and Räty, 2012). The aim of this paper is to use Social Role Theory in order to better understand the dynamics of gender in EE. This leads to the following research questions: what are the main mechanisms that contribute to gender-inclusive entrepreneurship education (EE) and how are the different mechanisms that contribute to gender inclusive entrepreneurship education (EE) integrated into the current curriculum?Approach In-depth interviews with 12 lecturers that teach/coach in the field of EE from across various faculties in a large University for Applied Sciences combined with newsletters created by one of largest EE programs at this institution (267 pages in 2020) is carried out. A semi-structured questionnaire was used to guide the in-depth interviews. Subsequently, discourse analysis gives insight into gendering in EE at the investigated institution. Results The main findings suggests that when questioned about the topic all respondents stressed the importance of gender equally, only a few seem to be aware of the need to address the issue in their classroom(s) while none of the programs currently adopt a gender perspective while coaching their potential entrepreneurs or when addressing how the entrepreneurial ecosystem functions. Implications These findings and perspectives point to the importance of recognizing that a “one size fits all” approach to curricula may not be appropriate, and that gender-sensitive programming, especially related to dealing with these gender stereotypes and gender bias, are needed. This means that in educational development there are opportunities to create better education and create equal opportunities for male and female students. Value/originalityWomen still form the minority amongst the population of (potential) entrepreneurs and find it more difficult to grow their venture due to a range of (institutional) barriers. This study shows that, thus far, EE insufficiently addresses this topic and points to opportunities for interventions for increasing the gender inclusiveness of the entrepreneurial ecosystem, especially for female ones, instilling in them the awareness and knowledge that as a female entrepreneur starting a business isn’t without gendered challenges. This research therefore adds to the body of knowledge on the construction and reconstruction of gender stereotypes and gender bias in the field of EE.
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This article investigates gender bias in narratives generated by Large Language Models (LLMs) through a two-phase study. Building on our existing work in narrative generation, we employ a structured methodology to analyze the influence of protagonist gender on both the generation and classification of fictional stories. In Phase 1, factual narratives were generated using six LLMs, guided by predefined narrative structures (Hero's Journey and Heroine's Journey). Gender bias was quantified through specialized metrics and statistical analyses, revealing significant disparities in protagonist gender distribution and associations with narrative archetypes. In Phase 2, counterfactual narratives were constructed by altering the protagonists’ genders while preserving all other narrative elements. These narratives were then classified by the same LLMs to assess how gender influences their interpretation of narrative structures. Results indicate that LLMs exhibit difficulty in disentangling the protagonist's gender from the narrative structure, often using gender as a heuristic to classify stories. Male protagonists in emotionally driven narratives were frequently misclassified as following the Heroine's Journey, while female protagonists in logic-driven conflicts were misclassified as adhering to the Hero's Journey. These findings provide empirical evidence of embedded gender biases in LLM-generated narratives, highlighting the need for bias mitigation strategies in AI-driven storytelling to promote diversity and inclusivity in computational narrative generation.
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The aim of the study is to investigate the influence of gender and gender pairing on students’ learning performances and knowledge elaboration processes in Computer-Supported Collaborative Learning (CSCL). A sample of ninety-six secondary school students, participated in a two-week experiment.Students were randomly paired and asked to solve several moderately structured problems concerning Newtonian mechanics. Students’ pretest and posttest performances were analyzed to see whether students’ gender and the gender pairing (mixed or single-gender) were significant factors in their problem solving learning in CSCL. Students’ online interactions were also analyzed to unravel the dynamic process of individual knowledge elaboration. The multilevel analyses revealed that a divergent pattern of knowledge elaboration was a significant predictor for students’ learning achievement, and in mixed-gender dyads students’ knowledge elaboration processes were more inclined to diverge from each other. Moreover, females in single-gender dyads significantly outperformed females in mixed-gender dyads. But this was not the case for male students.
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This chapter applies the theory of symbolic interactionism to present the qualitative analysis of 51 sentencing decisions in domestic violence homicide cases processed in Polish courts. It is argued in this chapter that sentencing, like any other human action, is subject to interpretations at the hands of judges, who engage in the construction and meaning-making process of gender at the sentencing stage. The findings demonstrate the diversely-constructed presence of gendered narratives, which vary in terms of their inclusion of the domestic violence terminology and/or the discussion on the fulfilment of socially-prescribed gender roles. The analysis has exposed a powerful interplay between the judges’ perception of the (abusive) relationship, gender roles, and the defendant’s/victim’s acquiescence to them, which in consequence makes women more likely the subject of double standards of conformity. The chapter offers a qualitative outlook on the topic and invites a new theoretical perspective to shift the attention from the impact of gender – to the meaning of gender – in sentencing decisions.
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DOEL: Deze studie onderzoekt de mogelijke invloed van gender op de historische dynamiek rond verpleegkundig leiderschap. METHODE: Gebruikmakend van een historische onderzoeksbenadering voert deze studie een bronnenanalyse uit met gender als analytische lens, gericht op de ontwikkeling van het verpleegkundig directeurschap in het Sint Radboudziekenhuis vanaf de oprichting van de medische kliniek (1956) tot de uitsluiting van de verpleegkundig directrice uit de directie (1971). RESULTATEN: Er worden zes gendergaps geïdentificeerd, namelijk verschillen in vermeende capaciteiten en kwaliteiten, werk-privébalans, opleiding, salarisstructuur, ondersteuning en gebruik van retoriek. Dit wijst op betrokkenheid van stereotype denkbeelden bij het vormen van de genderasymmetrie binnen het verpleegkundig beroep en de perceptie ervan op de werkplek en daarbuiten. DISCUSSIE: Een geleidelijke uitsluiting van verpleegkundigen op basis van geslacht op strategisch niveau in directies wordt benadrukt. Deze asymmetrie en vooroordelen creëerden een onevenwichtig speelveld, wat de onderhandelingen over de status van het verpleegkundig beroep bemoeilijkte en belemmeringen opwierp voor verpleegkundig leiderschap. CONCLUSIE: Het zichtbaar en bespreekbaar maken van deze vooroordelen kan het bewustzijn vergroten over de wijze waarop historisch gegroeide ideeën en overtuigingen hedendaags verpleegkundig leiderschap beïnvloeden.
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Aim: There is often a gap between the ideal of involving older persons iteratively throughout the design process of digital technology, and actual practice. Until now, the lens of ageism has not been applied to address this gap. The goals of this study were: to voice the perspectives and experiences of older persons who participated in co-designing regarding the design process; their perceived role in co-designing and intergenerational interaction with the designers; and apparent manifestations of ageism that potentially influence the design of digital technology. Methods: Twenty-one older persons participated in three focus groups. Five themes were identified using thematic analysis which combined a critical ageism ‘lens’ deductive approach and an inductive approach. Results: Ageism was experienced by participants in their daily lives and interactions with the designers during the design process. Negative images of ageing were pointed out as a potential influencing factor on design decisions. Nevertheless, positive experiences of inclusive design pointed out the importance of “partnership” in the design process. Participants defined the “ultimate partnership” in co-designing as processes in which they were involved from the beginning, iteratively, in a participatory approach. Such processes were perceived as leading to successful design outcomes, which they would like to use, and reduced intergenerational tension. Conclusions: This study highlights the potential role of ageism as a detrimental factor in how digital technologies are designed. Viewing older persons as partners in co-designing and aspiring to more inclusive design processes may promote designing technologies that are needed, wanted and used.
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Content moderation is commonly used by social media platforms to curb the spread of hateful content. Yet, little is known about how users perceive this practice and which factors may influence their perceptions. Publicly denouncing content moderation—for example, portraying it as a limitation to free speech or as a form of political targeting—may play an important role in this context. Evaluations of moderation may also depend on interpersonal mechanisms triggered by perceived user characteristics. In this study, we disentangle these different factors by examining how the gender, perceived similarity, and social influence of a user publicly complaining about a content-removal decision influence evaluations of moderation. In an experiment (n = 1,586) conducted in the United States, the Netherlands, and Portugal, participants witnessed the moderation of a hateful post, followed by a publicly posted complaint about moderation by the affected user. Evaluations of the fairness, legitimacy, and bias of the moderation decision were measured, as well as perceived similarity and social influence as mediators. The results indicate that arguments about freedom of speech significantly lower the perceived fairness of content moderation. Factors such as social influence of the moderated user impacted outcomes differently depending on the moderated user’s gender. We discuss implications of these findings for content-moderation practices.
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Research has shown that female students cannot profit as much as male students can from cooperative learning in physics, especially in mixed-gender dyads. This study has explored the influence of partner gender on female students’ learning achievement, interaction and the problem-solving process during cooperative learning. In Shanghai, a total of 50 students (26 females and 24 males), drawn from two classes of a high school, took part in the study. Students were randomly paired, and there were three research groups: mixed-gender dyads (MG), female–female dyads (FF) and male–male dyads (MM). Analysis of students’ pre- and post-test performances revealed that female students in the single-gender condition solved physics problems more effectively than did those in the mixed-gender condition, while the same was not the case for male students. We further explored the differences between female and male communication styles, and content among the three research groups. It showed that the females’ interaction content and problem-solving processes were more sensitive to partner gender than were those for males. This might explain why mixed-gender cooperation in physics disadvantages females in high schools.
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The past two decades, a disproportionate growth of females entering the criminal justice system and forensic mental health services has been observed worldwide. However, there is a lack of knowledge on the background of women who are convicted for violent offenses. What is their criminal history, what are their motives for offending and in which way do they differ from men convicted for violent offenses? In this study, criminal histories and the offenses for which they were admitted to forensic care were analyzed of 218 women and 218 men who have been treated between 1984 and 2014 with a mandatory treatment order in one of four Dutch forensic psychiatric settings admitting both men and women. It is concluded that there are important differences in violent offending between male and female patients. Most importantly, female violence was more often directed towards their close environment, like their children, and driven by relational frustration. Furthermore, female patients received lower punishments compared to male patients and were more often considered to be diminished accountable for their offenses due to a mental illness.
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