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Louisiana, US_EiJ Paraconference

Misria

In Louisiana, governing elites have long found it more profitable to deny the connections between health outcomes and the structural inequities of an anti-Black petrostate. Their denial is made possible by the existence of data divergence–that is, inconsistencies between data sets or between a data set and the realities it purports to represent (Encyclopedia of Social Measurement 2005). These inconsistencies range from missing or “undone” (i.e. incomplete or ignored) data (Frickel et al. 2007) to the production of different measures (and the selection of different priorities) by institutional silos. Recognition of the need for public health capacities that address the systems and structures impacting health–especially children’s health–has motivated health equity advocates in Louisiana to fill the data gaps through collaborative datawork, that is, the work of making data meaningful across social and scientific communities. In 2022, a coalition of community organizations, academic researchers, and public health workers led by the Louisiana Center for Health Equity (LCHE), a community-based organization created by a registered nurse, worked together to examine the links between adolescent mental health and disciplinary practices in schools. Ensuring their agendas were informed by community priorities led them to incorporate the contributions of adolescents advocating for better access to physical and mental healthcare resources and the abolishment of discriminatory and punitive disciplinary actions in schools. Their collaborative datawork revealed how data gaps around adolescent mental health are a structuring component of schools’ discriminatory and punitive climates–much as gaps in environmental health data benefit polluting industries. They found that existing figures around adolescent mental health are inaccurate, as many youth are unable to receive an official diagnosis owing to lack of healthcare access. LCHE advocates at a house committee meeting in January 2023 reported that students who exhibit behavioral issues rooted in trauma or mental health more often receive punitive disciplinary actions rather than rehabilitative and restorative services. This work generated the support needed to pass legislation to expand public health infrastructure and access to mental health resources. In June 2023, House Bill 353 authorized the allotment of "mental health days" as an excused absence for students; introduced procedures for schools to connect students to medical treatment and services; and required the Louisiana Department of Education to develop and administer a pilot program for implementing mental health screening, among other changes. By mobilizing advocates and scholars from across the social and institutional silos, LCHE’s collaborative datawork tentatively expanded children’s public health infrastructures. 

Fisher, Margaux. 2023. "Collaborative Datawork and Reframing Adolescent Mental Health in the Deep South." 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, Hawai'i, Nov 8-11.

What quotes from this text are exemplary or particularly evocative?

margauxf

BIOETHNOGRAPHY: “Thus, instead of combining objects of inquiry (biology and culture), I conceived of bioethnography as combining two different methods for knowing the world (Mol 2002, 153)—ethnographic observation and biochemical sampling—in order to ask and answer research questions that could not be addressed through either method alone. This methodological focus involves exploring how our data collection and analysis might be shaped if we suspended the nature/culture binary” (Roberts, 2021, p. 2)

“bioethnography asks, what if we created numbers otherwise, upending the cooked data that reinforces inequality? In fact, bioethnography can enable us to identify structural forces, such as NAFTA and the global health apparatus itself, that are part of the bodily processes that make ill health. In other words, while we know that all data is cooked, it matters how it’s cooked.” (Roberts, 2021, p. 5)

What is the main argument, narrative and effect of this text? What evidence and examples support these?

margauxf

Roberts describes their ongoing bioethnographic collaboration with a team of exposure scientists who are working in environmental engineering and health. Though ethnography is not easily enumerated, Roberts emphasizes that integrating it with quantitative data is worthwhile and makes for “better numbers”. As an example, Roberts describes 3 bioethnographic projects on neighborhoods, water distribution, and employment and chemical exposures. These projects were part of a longitudinal birth-cohort study in Mexico City called Early Life Exposures in Mexico to ENvironmental Toxicants (ELEMENT), created to understand the effects of early-life nutrition and exposure to toxicants (such as lead and phenols). Overtime, this project was expanded to include the study of new toxins (e.g. BPAS, mercury, and fluoride) and new health concerns (e.g. obesity, meopause, sleep).

Roberts’ focus on neighborhoods was produced from the ethnographic observation that neighborhood characteristics might influence exposure levels. Following this observation, Roberts’ and ELEMENT researchers sorted participants by neighborhood and identified significant differences in blood-lead levels. Additionally, Roberts applied previous ethnographic observation and scholarship to argue that high levels of toxicants like lead correlate with the capacity of neighborhoods to withstand other dangers, such as police violence. These findings prompted the development of two new bioethnographic project centered on water and the effect of neighborhood dynamics on health.