The erasure of sexual harassment in elite private boys’ schools

Variyan, George; Wilkinson, Jane

doi:10.1080/09540253.2021.1962516

Cited by 17 publications

(2 citation statements)

References 26 publications

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“…According to the study, 10% of young people aged 14-24 sent or published images of themselves with sexual overtones, 15% received such messages directly from someone else [21]. Among the participants of the study of the American National Campaign for the Prevention of Teenage and unwanted Pregnancy, 71% of girls and 67% of boys sent "sexts" to their romantic partners; 21% of girls and 39% of boys sent pictures with sexual overtones to people with whom they would like to have a romantic relationship; 15% of boys and girls sent them to someone familiar only through online communication [22]. If some people send such messages as part of a harmonious relationship within a couple, then others pursue the goals of harassment and harm, for example, posting photos of a naked ex-girlfriend on the Internet as revenge for a painful breakup of relations.…”

Section: Literature Review Methodsmentioning

confidence: 99%

A Review of Machine Learning Techniques in Cyberbullying Detection

Sultan¹,

Omarov²,

Kozhamkulova³

et al. 2023

Computers, Materials &Amp; Continua

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Automatic identification of cyberbullying is a problem that is gaining traction, especially in the Machine Learning areas. Not only is it complicated, but it has also become a pressing necessity, considering how social media has become an integral part of adolescents' lives and how serious the impacts of cyberbullying and online harassment can be, particularly among teenagers. This paper contains a systematic literature review of modern strategies, machine learning methods, and technical means for detecting cyberbullying and the aggressive command of an individual in the information space of the Internet. We undertake an in-depth review of 13 papers from four scientific databases. The article provides an overview of scientific literature to analyze the problem of cyberbullying detection from the point of view of machine learning and natural language processing. In this review, we consider a cyberbullying detection framework on social media platforms, which includes data collection, data processing, feature selection, feature extraction, and the application of machine learning to classify whether texts contain cyberbullying or not. This article seeks to guide future research on this topic toward a more consistent perspective with the phenomenon's description and depiction, allowing future solutions to be more practical and effective.

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Section: Literature Review Methodsmentioning

confidence: 99%

A Review of Machine Learning Techniques in Cyberbullying Detection

Sultan¹,

Omarov²,

Kozhamkulova³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…Sexual harassment and school violence were amongst the strategic directions envisaged by the earlier policy Gender Equity: A Framework for Australian Schools (1997) and remain matters of concern (Gannon, 2019;Higham, 2018;Saltmarsh et al, 2012;Variyan & Wilkinson, 2021;Wescott et al, 2023). However, acknowledgment of the widespread impacts of homophobia was barely there in early policy work (Gannon & Robinson, 2021;Jones & Hillier, 2012).…”

Section: Situating Gender and Schooling In Australiamentioning

confidence: 99%

Gender and schooling in Australia

Gannon,

Higham,

Smith

2024

Aust. Educ. Res.

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This special issue presents a collection of recent papers drawing on qualitative research in and about schooling in Australia and the ways in which gender-related issues in the broadest sense continue to shape people’s educational experiences. These papers from the present are positioned in relation to the long histories of policy and research attention to gender equity in Australian education. We set the context for work in the present by scanning the past, noting the ambitions, the gaps and the failures of earlier policies, and drawing attention to the quality and volume of research that has previously been undertaken in this area. We explore the current policy vacuum regarding gender to consider some of the pressures and complexities that have led to the erasure or avoidance of gender-related issues. Each of the papers that form this special issue demonstrate—despite different methods, theoretical frameworks, settings and participant cohorts—how stereotypes and limitations circulate in everyday life in schools and beyond them, and how these impact on people. They each explore from a different starting point how gender injustices are perpetuated and produced, in often subtle and nuanced ways that require concerted effort to unpack. They simultaneously offer insights into the critical and creative ways that young people and those around them are reconfiguring gender and seeking more hopeful and more equitable educational experiences and outcomes. Collectively, the papers that form this special issue advocate for policies and practices that embrace the complexities of young people's lives and are oriented towards inclusive and equitable educational environments.

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Communicating Consent in Schools and Online

Featherstone,

Byrnes,

Maturi

et al. 2023

Palgrave Socio-Legal Studies

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Young women are retelling and reshaping stories of sexual assault and consent through testimonial accounts in the online space. In the wake of the global #metoo movement, women shared their stories both on and offline, as issues of sexual violence and consent education were forced onto national and international agendas. One of these online spaces was the Teach Us Consent website. Drawing on almost 3300 testimonies from the Australian Teach Us Consent website and the close reading of a random sample, this chapter considers the way these testimonies, which focus on breaches of sexual consent amongst high school students, reveal that future consent education programs must focus on the nuance and ambiguity within communication around consent and sexual interaction. Education about consent communication may involve acknowledging that which appears (initially at least) invisible or ambiguous. The Teach Us Consent website reveals discourse around consent does not necessarily support affirmative consent strategies such as the long-held mantras of “yes means yes” and “no means no” (Harris, Journal of Applied Communication Research, 46:158, 2018). Instead, the Teach Us Consent testimonies emphasise the complexities of consent, refusing to situate silence as a signal of acquiescence.

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The erasure of sexual harassment in elite private boys’ schools

Cited by 17 publications

References 26 publications

A Review of Machine Learning Techniques in Cyberbullying Detection

A Review of Machine Learning Techniques in Cyberbullying Detection

Gender and schooling in Australia

Communicating Consent in Schools and Online

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