Campus Myths & Legends: Fun, Facts, and Fighting for the Truth

Presentation from the MARAC conference in Cape May, NJ on April 12–14, 2012. S9 - Monsters, Myths & Legends: “Haunting” Through Archival Collections For Frolicsome Tales Worth Retelling

The Origins and Legacy of a Currency Board in Argentina

This is a qualitative case study of the adoption of a currency board in Argentina in 1991. It presents a discursive analysis and intellectual history of four overlaying and mutually influencing stories of Convertibility’s adoption. It is (1) the story of how Menem aligned himself to the Washington Consensus as a means to win a Presidential election. This ideological alignment influences and is influenced by a (2) reconstitution of the Peronist Party’s historically entrenched identity. This in turn re-fashion the whole system of interest articulation and relative power of interest groups in Argentina. The adoption of a currency board also marks the pace of (3) the entrenchment neoliberal interests across a domestic network of neoliberal think-tanks, technocrats, politicians, and “technopoles” articulating neoliberal interests outside of the Washington Consensus, within an International Neoliberal Network. Argentina’s adoption of a currency board falls in line with the Corner Solutions, a neoliberal doctrine promoted to influence developing countries to adopt two forms of exchange rate regimes that allow for less government involvement, including a currency board. Argentina starts as a test country and then becomes (4) an ideological stepping stone to help promote the creation of currency boards across more “developing” countries. These stories are not sequential but concurrent, and they help advance an alternative critique of neoliberalism that focuses on specifics to induce case-specific lessons versus a theory claiming to provide any universal truth.

ABLE-BODIED WOMANHOOD: DISABILITY AND CORPOREALLY EXCLUSIONARY NARRATIVES IN BLACK AND WHITE WOMEN’S RIGHTS DISCOURSES, 1832-1932

This project is a feminist disability rhetorical analysis of US black and white women’s rights movements from 1832-1932. Guided by Disability and Feminist Theory, it works to identify the presence and use of patterns of disability tropes in women’s rights discourses. From Lucretia Coffin Mott to Sojourner Truth, Elizabeth Cady Stanton to Mary Church Terrell, and Charlotte Perkins Gilman to Addie Hunton, this project interrogates the rhetorical work of dominant narratives and lesser known voices in women’s rights discourses. I argue that early black and white women’s rights advocates often utilized and repeated a disability rhetoric that relied on disability metaphor, narrative prosthesis, and corporeally exclusionary narratives in order to construct definitions of womanhood. Their insistence on cognitive ability as a marker of “fitness” and “ability” provided the foundation for rights arguments based on ableist assumptions of autonomy and citizenship. I also argue that this use of disability rhetoric relied on and furthered a pervasive ableist ideology present not only in many of these movements, but in US society. In the process, US black and white women’s rights discourses have continually elided women with disabilities from women’s rights discourses because their bodies (physically, cognitively, and/or psychologically) did not meet the ableist prerequisites set for claiming women’s rights during this time period.

Forensic Injustice: Human Rights, Archival Science and Racialized Feminicide in Guatemala

The call to access and preserve the state records that document crimes committed by the state during Guatemala’s civil war has become an archival imperative entangled with neoliberal human rights discourses of “truth, justice, and memory.” 200,000 people were killed and disappeared in Guatemala’s civil war including acts of genocide in which 85% of massacres involved sexual violence committed against Mayan women. This dissertation argues that in an attempt to tell the official story of the civil war, American Human Rights organizations and academic institutions have constructed a normative identity whose humanity is attached to a scientific and evidentiary value as well as an archival status representing the materiality and institutionality of the record. Consequently, Human Rights discourses grounded in Western knowledges, in particular archival science and law, which prioritize the appearance of truth erase the material and epistemological experience of indigenous women during wartimes. As a result, the subjectivity that has surfaced on the record as most legible has mostly pertained to non-indigenous, middle class, urban, leftist men who were victims of enforced disappearance not genocide. This dissertation investigates this conflicting narrative that remembers a non-indigenous revolutionary masculine hero and grants him justice in human rights courtrooms simply because of a document attesting to his death. A main research question addressed in this project is why the promise of "truth and justice" under the name of human rights becomes a contentious site for gendered indigenous bodies? I conduct a discursive and rhetorical analysis of documentary film, declassified Guatemalan police and military records such as Operation Sofia, a military log known for “documenting the genocide” during rural counterinsurgencies executed by the military. I interrogate the ways in which racialized feminicides or the hyper-sexualized racial violence that has historically dehumanized indigenous women falls outside of discourses of vision constructed by Western positivist knowledges to reinscribe the ideal human right subject. I argue for alternative epistemological frames that recognize genocide as sexualized and gendered structures that have simultaneously produced racialized feminicides in order to disrupt the colonial structures of capitalism, patriarchy and heterosexuality. Ironically, these structures of power remain untouched by the dominant human rights discourse and its academic, NGO, and state collaborators that seek "truth and justice" in post-conflict Guatemala.

Multi-sensor Cloud and Aerosol Retrieval Simulator and Its Applications

Executing a cloud or aerosol physical properties retrieval algorithm from controlled synthetic data is an important step in retrieval algorithm development. Synthetic data can help answer questions about the sensitivity and performance of the algorithm or aid in determining how an existing retrieval algorithm may perform with a planned sensor. Synthetic data can also help in solving issues that may have surfaced in the retrieval results. Synthetic data become very important when other validation methods, such as field campaigns,are of limited scope. These tend to be of relatively short duration and often are costly. Ground stations have limited spatial coverage whilesynthetic data can cover large spatial and temporal scales and a wide variety of conditions at a low cost. In this work I develop an advanced cloud and aerosol retrieval simulator for the MODIS instrument, also known as Multi-sensor Cloud and Aerosol Retrieval Simulator (MCARS). In a close collaboration with the modeling community I have seamlessly combined the GEOS-5 global climate model with the DISORT radiative transfer code, widely used by the remote sensing community, with the observations from the MODIS instrument to create the simulator. With the MCARS simulator it was then possible to solve the long standing issue with the MODIS aerosol optical depth retrievals that had a low bias for smoke aerosols. MODIS aerosol retrieval did not account for effects of humidity on smoke aerosols. The MCARS simulator also revealed an issue that has not been recognized previously, namely,the value of fine mode fraction could create a linear dependence between retrieved aerosol optical depth and land surface reflectance. MCARS provided the ability to examine aerosol retrievals against “ground truth” for hundreds of thousands of simultaneous samples for an area covered by only three AERONET ground stations. Findings from MCARS are already being used to improve the performance of operational MODIS aerosol properties retrieval algorithms. The modeling community will use the MCARS data to create new parameterizations for aerosol properties as a function of properties of the atmospheric column and gain the ability to correct any assimilated retrieval data that may display similar dependencies in comparisons with ground measurements.