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California, USA

Misria

In this poster, we share preliminary reflections on the ways in which hermeneutic injustice emerges and operates within educational settings and interactions. Hermeneutic injustice is a type of epistemic injustice that occurs when someone’s experiences are not well understood by themselves or by others, either due to unavailability of known concepts or due to systemic barriers that produce non-knowing (Fricker 2007). In 2021, we entered into a collaborative project to design a high school curriculum on environmental injustice and climate change for California’s K-12 students. Although the project convenors aspired to support the diversity of California’s K-12 student population through representational inclusivity across the program participant, they reproduced essentialized notions of what it means to be an “included subject”. In our first inperson meetings, activities intended to invite difference in the curriculum writing and design community were encountered by participants as an opportunity to point to the margins of that community. Who was in the room and who was not? Initial counts excluded some writers whose identity was not readily apparent by race, ethnicity, or age. Some individuals who, to their consternation, were assumed to be white, revealed themselves as people of color. The project chose the “storyline model” of curriculum design to bring coherence across the teams. The model was developed by science educators to promote student agency and active learning. Lessons start with an anchoring phenomenon, which should hook students and produce enough questions to sustain inquiry cycles that culminate in consensus making. As a result, each grade-level unit of our curriculum was intended to focus on a single environmental phenomenon, like wildfire. However, informed by Gregory Bateson’s theory of learning, we sought to foreground complexity by recursively analyzing environmental injustice through case study analysis of many hazards, injustices, and places. It took multiple meetings over several months to arrive at an articulation of environmental injustice as our central phenomenon that recognizes the compounding impacts of both climate change and toxic pollution. It also required restructuring the working relationships between the project's administrative arm, the curriculum consultants, and the writing team. The image we include is a photograph of an exercise done together with another HS team as we were tasked to clarify the aims and goals of our imagined lessons. As is evidenced in the photograph, each writing team found it difficult to articulate learning outcomes as a series of checklists, or goals, separate from skill-development that represented the dynamic need for curriculum capable of examining climate change and the environmental justice needs for California’s students.

Tebbe, Margaret, Tanio, Nadine, and Srigyan, Prerna. 2023.  "Reflections on Hermeneutical Injustice in K-12 Curriculum Development." In 4S Paraconference X EiJ: Building a Global Record, curated by Misria Shaik Ali, Kim Fortun, Phillip Baum and Prerna Srigyan. Annual Meeting of the Society of Social Studies of Science. Honolulu, Hawaii, Nov 8-11.

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ciera.williams

This study examined the risk of acquiring Ebola Virus Disease (EVD) by healthcare workers in the setting of general hospitals and isolation units. By looking retrospectively at the Ebola Outbreak in Sierra Leone, the relative levels of risk to healthcare workers were computed and compared. The reasoning for these levels was also examined through interviews of surviving workers and the families/associates/colleagues of the deceased workers. The interviews reviewed common actions (and lack there of) for affected workers. This revealed certain themes that should be visited when reveising/creating hospital infection prevention and control policies.

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ciera.williams

In the case of this study, the vulnerable population examined was healthcare workers in Sierra Leone during the outbreak. These workers were found to be at a significant level of risk for transmission for a number of reasons. These include proximity to the virus (due to the occupation), lack of training in the area of infection control, and cultural factors (such as prevalence of self-medication and home management of illness). Nurses as a whole were most affected, with over half of the infected members. 

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ciera.williams

The data acquired in this study can be used not only for improvement in policies and training for healthcare workers, but also to examine the risk factors for the disease. One example is the age and gender disparities in those nfected. These could be explained by the typical age and gender of healthcare workers, but could also show a trend in risk when coupled with patient data. The data on the districts and their infection rates can be used to help pinpoint the origin of infection. 

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ciera.williams

The study was published in BMC Infectious Diseases, a peer-reviewed journal on the prevention, diagnoisis, and management of infectious disease. The journal seems to be genrally well respected.

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ciera.williams

This was a retrospective study. While not the most accurate and well supported way to conduct a study, due to the effects of recall bias, it was really the only way to gain the data that was presented in the report. There isn't really anything new about the style of research. 

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ciera.williams

At least one further study has been conducted using this data. A more focussed paper on the Kenema District in Sierra Leone was written, addressing the staggering number of cases with infected healthcare workers. The paper is titled "Facors Underlying Ebola Virus Infection Among healthcare Workers, Kenema, Sierra Leone, 2014-2015."  The paper reached similar conlusions as the original one, with a need for better practices in infection control and prevention. 

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elizabeth.diblasio

There are many vulnerabilities listed in this artifact that directly affect the community. To begin with, Bergen, Hudson, and Essex county are listed as the state's worse air quality. It also states that more than four in 10 people experience unhealthy air quality in the community within NJ.