Implications of COVID-19 to Young Women’s Online Education in Canada
Bibliographic record
Abstract
This paper will explore the gendered implications of online education during the pandemic in Canada. The COVID-19 pandemic shifted the educational environment by transporting in-person social developments within conventional school structures into an online and unfamiliar environment (Bilodeau, Kehler, and Minnema 2021). In this new setting, young women face a range of barriers to education and exacerbated forms of cyberbullying (Kusumawaty et al. 2021; Mkhize and Goapl 2021). Moving forward with the Women, Peace, and Security (WPS) agenda and efforts for recovery (as mentioned by K.C. and Mackenzie in the forum introduction), Canada’s COVID-19 educational recovery plan requires a comprehensive gendered perspective, with attention to the impacts of COVID-19 on young women’s education. This paper explores the intersectional gendered impacts of educational shifts associated with COVID-19, with attention to unpaid labor, unequal access to technology, unreliable access to health resources, and cyberbullying. Although these were preexisting issues for young women, this paper highlights how the pandemic exacerbated them in ways that could have long-term implications for education quality and equity. Conducting schooling online and within the home has contributed to the re-traditionalization of gender roles. Young women students are more likely to be relegated to unpaid and additional home-making labor during periods of school closures (Reliefweb 2021; Canadian Partnership for Women and Children’s Health 2022). This impedes their ability to balance educational responsibilities with home-making duties. Elevated rates of stress and decreasing resilience to educational changes can lead to education disengagement (Whitley, Beauchamp, and Brown 2021), resulting in poorer results in reading, math, and sciences among youth (Frenette, Frank, and Deng 2020). These factors are compounded by attitudinal factors toward the expectation of women to maintain the home while minimizing the need for digital skills (Webb et al. 2021). This argument corroborates Azmi’s findings (from this forum) on women migrant returnees who face diverse economic and domestic challenges upon their return home during the pandemic, intensified by existing inequalities. Research indicates that a decrease in access to quality education over time can lead to sustained disadvantages in future vocational opportunities (Maldonado and De Witte 2022; Sabates, Carter, and Stern 2023). While this analysis warns of the impact from gender roles and domestic challenges to education, further studies are required to determine the long-term gender-based educational fallout associated with the pandemic. The challenges in pivoting to online platforms of learning are also tied to systemic unequal access to technologies. In 2020, 11 percent of Canadians did not have sustained access to the internet—predominantly in remote communities (Fowler 2020). A total of 63 percent of Canadians in the lowest income quartile have less than one internet-enabled device per person, posing barriers to routine online education in multichild households (Frenette, Frank, and Deng 2020). Adapting to online learning and new digital literacy skills is an evident barrier for young women in remote communities (Crompton et al. 2021). In particular, Indigenous communities in Canada have experienced greater disadvantages in accessing costly and unstable online connectivity in remote areas (Whitley, Beauchamp, and Brown 2021) and sufficient multimedia curricula. This is compounded by historic discrimination, the failure to support indigenous languages in education, and a lack of internet infrastructure (Human Rights Watch 2021). At large, gender-based discriminatory educational practices prevailed, where gender-aware digital educational curricula were insufficient; young and racialized women were underpresented and misrepresented in multimedia teaching materials (Crompton et al. 2021). Gendered stereotypes were evident within the curriculum and content for digital literacy skills, and boys were favored in developing technological skills (Crompton et al. 2021). Outdated and insufficient digital curriculua can exacerbate inequalities faced by young Indigenous girls and women in their communities. A pivot online has changed the support structure for gendered forms of violence, such as diminished in-person schooling, social support through teachers, classmates, and programming. Institutional gender-positive and sexual education programming in schools decreased during the pandemic (Action Canada 2020). A lack of reliable technology for vulnerable communities can further increase barriers to sexual and reproductive health resources, placing women at higher risk of sexual harm (Canadian Partnership for Women and Children’s Health 2022). While online healthcare resources can improve overall accessibility, vulnerable populations also face challenges to medical privacy (Prokopenko and Kevins 2020). 2SLGBTQIA+ youth face an increased risk of violence if they are restricted to quarantine in homes that are homophobic or unsupportive, which poses barriers to accessing appropriate healthcare (Prokopenko and Kevins 2020). The COVID-19 pandemic increased rates of cyberbullying, where youth represented the largest demographic of online users (Kusumawaty et al. 2021). Cyberbullying can emerge in social networking and chat platforms and gaming websites (Kusumawaty et al. 2021)—forums that were often used to maintain social interaction throughout the pandemic. While online spaces may benefit community-building, they can also facilitate harm. Increasing reports of online harm were reported throughout the pandemic. In particular, Asian communities faced high rates of online hate during the pandemic (Sakamoto et al. 2023); 30 percent of 2SLGBTQIA+ Canadian students have experienced cyberbullying, as compared to 8 percent of heterosexual students (Stonebanks 2021). Cyberbullying and violence against women intersect, where women are at increased risk of forms of online sexual exploitation, coercive sexting, and doxing (Crompton et al. 2021). During the pandemic, women faced misogynistic messaging, gender-based harassment and online stalking, and “zoombombing”: the targeted distribution of unsolicited pornographic content on platforms prevalently used for online education (UN Women 2020). Before the COVID-19 pandemic, young women faced existing gender-based challenges to education. Each of the discussed issues—unpaid labor, unequal access to technology, unreliable access to health resources, and cyberbullying—are preexisting issues for women that interconnectedly reinforce mutual harm and impact education quality. The intersection of technological challenges and access to education is compounded when they are jointly implicated in the pandemic. These challenges are not uniform but experienced differently and exacerbated by 2SLGBTQIA+, racialized, and indigenous women. As students transition back to in-person learning, Canada’s educational recovery plan must consider the varying experiences of young women. A robust yet rigorous approach to education will tackle the varying needs of diverse communities. Policies must prioritize a holistic perspective on education that include all aspects of wellbeing. For example, Indigenous women and girls face systemic and disproportionate challenges in access to clean water and increased rates of food insecurity and sexual violence (Heck, Eaker, and Franco 2021). While these elements are not conventionally educational, these needs must be met to sustain fulsome schooling participation. Curriculum development must consider diverse household structures beyond the nuclear household—lower-income and single-parent households face increased barriers to education and technological resources. Canada must consider the pervasiveness of technology in everyday life and remain prepared for future instances of increased online learning. While Canada has adopted programs to support infrastructure development for stable internet access, the COVID-19 pandemic has demonstrated the grave impact that a lack of internet can pose on education. It is imperative that infrastructure development should adopt a gender-based approach in considering underserved communities that are at increased risk of education drop-out rates. Schools must consider digital education programming and organize accessibility programs to provide technological devices for lower-income households. Attitudinal shifts are required to support young women’s fulsome education and decrease gendered cyberbullying. This includes debunking gendered stereotypes around digital literacy skills and caretaking roles. Schools can promote attitudinal shifts through early digital literacy programs and providing workshops on cyber hygiene and communication etiquette. As Canada’s educational recovery plan for COVID-19 continues to evolve, it must address these outlined challenges to ensure a holistic and inclusive approach to young women’s education.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.033 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".