Blog Post 1: Disability

According to Kimberlé Crenshaw’s theory of intersectionality, the severity of a situation is significantly amplified, sometimes obscured, causing the victim to suffer more than if only one aspect were considered. For instance, in interviews with individuals like Chai Brown, a white transgender man with mental health disabilities, it becomes evident that white men often experience more privilege compared to their counterparts, such as black women, who may feel even more marginalized. Similarly, in discussions surrounding movements like Black Lives Matter, as highlighted by Ade Adepitan within the Paralympics context, the emotional weight is palpable when derogatory terms like “Crippled” and the “N word” are used. While overt discrimination may be less common, subtle forms, like being denied a job due to disability under vague pretenses, remain challenging to address.

Adepitan suggests addressing discrimination at its root, advocating for inclusive design that considers the needs of everyone rather than segregating spaces for specific groups. Despite decades of discussion, the intersection of disability with other forms of discrimination, such as racism or LGBTQ+ issues with mental health, still requires substantial progress. However, Christine Sun Kim’s documentary provides hope, showcasing advancements in deaf representation and accessibility. Kim’s unique sign language offers an alternative to traditional lip-reading, empowering the deaf community to be more assertive. Her plea for acknowledgment from the sound world resonates deeply, emphasizing the importance of creating spaces where everyone feels heard and valued.

Reflecting on the University of the Arts London’s (UAL) efforts, there’s been a significant shift in how disability data is collected, indicating a commitment to better serving diverse student populations, instead of capturing as generic “two or more impairment option”, now each condition is captured individually (though the analysis results are currently not fully available). According to data from UAL’s Dashboard on Student Profiles:Charactersitics, in the 2023/24 academic year, among 335 students at the Creative Computing Institute (CCI) where I belong to, 16.62% (59 students) declared a disability, while 83.38% (296 students) did not which is a good start for a new unit like ours. Also by capturing more detailed information, such as age, ethnicity, gender, and socioeconomic status, UAL recognizes the importance of intersectionality in understanding student needs. But how are we going to analyze and interpret this data is crucial to leverage and support, this can be possible with more deliberations with the academic staff and the data team. In this direction, more dynamic interactive filters which can further illuminate intersectional dynamics can be brought in which may be facilitating more nuanced interpretations and, ultimately, helping us fostering greater inclusivity among students and staff.

References

  • https://dashboards.arts.ac.uk/dashboard/ActiveDashboards/DashboardPage.aspx?dashboardid=5c6bb274-7645-4500-bb75-7e334f68ff24&dashcontextid=638501095251383705

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10 thoughts on “Blog Post 1: Disability

  1. Hi Kjayavel
    I like how you start by acknowledging the significance of Kimberlé Crenshaw’s theory of intersectionality in understanding the complexities of discrimination and privilege, before then commenting on the Videos we watched.
    I agree with Ade Adepitan’s suggestion for inclusive design and addressing discrimination at its root. It’s so important to create spaces where everyone feels valued and heard. Like you I found Christine Sun Kim video positive, the way she showcases advancements in deaf representation and accessibility, noting the importance of empowering marginalized communities.
    Regarding the University of the Arts London’s efforts to support disability, I agree it would be great to have more detailed data collection on disability and the recognition of intersectionality in understanding student needs. However, where the information is not always available due to the lack of numbers, I do believe staff on smaller courses/cohorts get to know their students personally and are therefore able to comment and give feedback to the university if there was a method/meeting to do so.

    • Thank you, Flur, for dedicating time to review and share your insights. I’m delighted that our perspectives align, particularly regarding the value of smaller class cohorts. It’s true that smaller groups facilitate deeper connections, something I’ve noticed in my current class with fewer than 15 students. Your suggestion about establishing channels for feedback to reach relevant authorities is astute and definitely worth exploring further.

  2. Kayalvizhi, thank you for sharing your reflections on intersectionality and the uneven distribution of discrimination. I also was wondering about the less overt forms of discrimination and how to counter them. I’m interested in the UAL data collection practices and the shift from generic “two or three impairment condition” to more detailed data. Do you know when this shifted? I agree that more needs to be done with the data and I wonder also about how the data can be even more accessible to staff (I find the dashboard to be tricky to navigate). I’m curious what dynamic interactive filters might look like.

    • Hi Sabrina
      Thanks for taking time out to comment. As you rightly commented, there is so much to be done in this arena, looks simple from outside but complex when you really try to understand beyond the traditional definitions. Regarding the change in the UAL data collection practices, the current dashboard reflects it, not sure when the change was incorporated. The User interface is a bit tricky for the first time, but on constant encounter it reveals better. And dynamic interactive filters are something like the charts get generated at runtime (on the fly) based on what the user inputs in to a text box or other drop down menus, kind of custom made charts.

  3. Comments on Kayalvizhi Jayavel ‘s blog on Disability
    by Stephanie Cooper (Posted on her behalf what she shared with me through Email)

    You have created a strong collection of viewpoints curated from the study material and you have pinpointed relevant and varied examples of the connections between intersectionality in disability, gender and race in your introduction following researching the content and discussion points in the films and interview material and you’ve clearly highlighted the points with powerfully worded explanations and descriptions of your findings and opinions.
    You have clearly defined your experience within the focus of the university data analysis including well documented details of particular statistics and indications of how this may work towards a stronger commitment to serving diverse student population in collating and analysing targeted individual information.
    You end your post by posing a question around the necessity for improving the current situation and also by providing suggestions for a possible solution, which creates an acknowledgment of the university’s efforts while at the same time opening up the need to further implement changes.

    You touch on your own course when quoting some of the data analytics, but it would have been good to have some more in depth information here taken from your personal experience as a education practitioner and also how the importance of your own positionality might help to inform and enrich your practice and your unique insight into implementing the fostering of greater inclusivity that you write about at the close of your piece.

    • Hi Stephanie,

      Thank you for your comments and feedback. I appreciate your suggestion to share my personal experiences as an educational practitioner and to reflect on how my positionality can enhance inclusivity. Inspired by your feedback, I have given this considerable thought and would like to share the following:

      As an Asian female with skin of color, I have considered how I might feel if I were disabled. This contemplation has been an enlightening experience, allowing me to discover ways to mitigate barriers and share these insights with my peers and fellow students who might face similar challenges.

      Before I proceed, I must acknowledge that the term “disabled” carries a different connotation in my home country. It predominantly refers to those with visible physical disabilities, and mental disabilities are seldom included unless specifically mentioned. This cultural perspective shaped my initial understanding of disability. However, through my PGCert discussions, I learned that it is perfectly acceptable to use the term “disability” in a broader sense, encompassing any barrier that hinders task completion.

      In my home country, labeling someone as disabled in the broader context recognized in the UK and other Western regions might be seen as an excuse for not meeting expectations. This led me to question why such divergent interpretations exist. Are they rooted in language, communication, or cultural differences? I now understand the importance of not making assumptions, consulting reliable resources, engaging with experts, and avoiding judgment, as there may be underlying messages we fail to decode correctly.

      With these reflections, I would like to conclude and, if permissible, include this as the final paragraph of my blog. It now feels more complete. Thank you again, Stephanie, for prompting me to think along these lines.

  4. Hi Kjayavel, it’s really interesting to read your blog, especially with regards to the data collection. I find it difficult to navigate dashboard and am not sure how to access this information. I also don’t really understand how this data is analysed either, and how it is used and agree that there could be more deliberation between the data and academic staff.

    • Thanks, Billie. I completely agree with the challenges related to dashboard navigation. It can be quite user-unfriendly, especially for first-time users or those who aren’t well-versed in data interpretation, which is problematic since the dashboard is meant to be accessible for everyone to view, interpret, and act upon.
      However, the University Central Planning unit at UAL organizes activities related to the dashboards, which can be booked via iTrent. These sessions might be useful for getting accustomed to the interface.
      Regarding data analysis, it begins with data collected from various surveys, including student surveys, which are then analyzed by the concerned departments to improve areas such as admissions, disability policy and many more. Tutors and course leaders can also gain insights from the dashboard on items such as student intake, attainment gaps etc.,
      As you mentioned, and I agree, there should be more training workshops on internal data collection, data mining processes, and how to interpret the data in straightforward terms understandable even to those without a background in statistics or data analysis. Let’s consider sending this feedback to the relevant department so we can see improvements in the future.

      • Thanks Kjayavel, I’m going to book some training sessions on this when I can and agree with your suggestion for more training workshops on data interpretation. It does seem that by improving our collective ability to understand and act on data could be something that is really helpful. I would be up for sending this feedback – perhaps we could talk but this some time?

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