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Conventional wisdom holds that large sums of money poured into election campaigns are the gateway to corruption. Allegations of the corrupting influence of money in politics and policy are widespread on the national level. Yet, little empirical evidence has advanced the understanding of such a link on the local level, coupled with blurred corruption measures. This master’s thesis tests the effect of campaign finance on public procurement corruption risks in Colombian municipalities, focusing on donations, small donations, and financial disclosure. To that end, I seized publicly disclosed contribution-level data from the 2015 municipal elections and a novel index of institutionalized public procurement corruption risks based upon contract-level data from the near population of local governments. The analysis shows that donations are negatively associated with overall corruption risk, yet they affect specific corruption risks differently. By contrast, small donations seem to correlate positively with direct awarding for a sub-sample of medium-sized municipalities, whereas in their large-sized counterparts the effect of the former on institutionalized corruption is adverse. Finally, financial misreporting is positively linked with market competition restrictions and direct awarding. In the conclusion, I discuss the implications of these findings for future research and outline a series of policy recommendations.
“Jewish, Gay and Proud”
(2020)
This publication examines the foundation and institutional integration of the first gay-lesbian synagogue Beth Chayim Chadashim, which was founded in Los Angeles in 1972. As early as June 1974, the synagogue was admitted to the Union of American Hebrew Congregations, the umbrella organization of the Reform congregations in the United States. Previously, the potential acceptance of a congregation by and for homosexual Jews triggered an intense and broad debate within Reform Judaism. The work asks how it was possible to successfully establish a gay-lesbian synagogue at a time when homosexual acts were considered unnatural and contrary to tradition by almost the entire Jewish community. The starting point of the argumentation is, in addition to general changes in American synagogues after World War II, the assumption that Los Angeles was the most suitable place for this foundation. Los Angeles has an impressive queer history and the Jewish community was more open, tolerant and innovative here than its counterpart on the East Coast. The Metropolitan Community Church was also founded in the city, and as the largest religious institution for homosexual Christians, it also served as the birthplace of queer synagogues.
Reform Judaism was chosen as the place of institutional integration of the community because a relative openness for such an endeavor was only seen here. Responsa written in response to a potential admission of Beth Chayim Chadashim can be used to understand the arguments and positions of rabbis and psychologists regarding homosexuality and communities for homosexual Jews in the early 1970s.
Ultimately, the commitment and dedication of the congregation and its heterosexual supporters convinced the decision-makers in Reform Judaism. The decisive impulse to question the situation of homosexual Jews in Judaism came from Los Angeles. With its analysis, the publication contributes to the understanding of Queer Jewish History in general and queer synagogues in particular.
Geomagnetic field modeling using spherical harmonics requires the inversion for hundreds to thousands of parameters. This large-scale problem can always be formulated as an optimization problem, where a global minimum of a certain cost function has to be calculated. A variety of approaches is known in order to solve this inverse problem, e.g. derivative-based methods or least-squares methods and their variants. Each of these methods has its own advantages and disadvantages, which affect for example the applicability to non-differentiable functions or the runtime of the corresponding algorithm.
In this work, we pursue the goal to find an algorithm which is faster than the established methods and which is applicable to non-linear problems. Such non-linear problems occur for example when estimating Euler angles or when the more robust L_1 norm is applied. Therefore, we will investigate the usability of stochastic optimization methods from the CMAES family for modeling the geomagnetic field of Earth's core. On one hand, basics of core field modeling and their parameterization are discussed using some examples from the literature. On the other hand, the theoretical background of the stochastic methods are provided. A specific CMAES algorithm was successfully applied in order to invert data of the Swarm satellite mission and to derive the core field model EvoMag. The EvoMag model agrees well with established models and observatory data from Niemegk. Finally, we present some observed difficulties and discuss the results of our model.
DeepGeoMap
(2021)
In recent years, deep learning improved the way remote sensing data is processed. The classification of hyperspectral data is no exception. 2D or 3D convolutional neural networks have outperformed classical algorithms on hyperspectral image classification in many cases. However, geological hyperspectral image classification includes several challenges, often including spatially more complex objects than found in other disciplines of hyperspectral imaging that have more spatially similar objects (e.g., as in industrial applications, aerial urban- or farming land cover types). In geological hyperspectral image classification, classical algorithms that focus on the spectral domain still often show higher accuracy, more sensible results, or flexibility due to spatial information independence. In the framework of this thesis, inspired by classical machine learning algorithms that focus on the spectral domain like the binary feature fitting- (BFF) and the EnGeoMap algorithm, the author of this thesis proposes, develops, tests, and discusses a novel, spectrally focused, spatial information independent, deep multi-layer convolutional neural network, named 'DeepGeoMap’, for hyperspectral geological data classification. More specifically, the architecture of DeepGeoMap uses a sequential series of different 1D convolutional neural networks layers and fully connected dense layers and utilizes rectified linear unit and softmax activation, 1D max and 1D global average pooling layers, additional dropout to prevent overfitting, and a categorical cross-entropy loss function with Adam gradient descent optimization. DeepGeoMap was realized using Python 3.7 and the machine and deep learning interface TensorFlow with graphical processing unit (GPU) acceleration. This 1D spectrally focused architecture allows DeepGeoMap models to be trained with hyperspectral laboratory image data of geochemically validated samples (e.g., ground truth samples for aerial or mine face images) and then use this laboratory trained model to classify other or larger scenes, similar to classical algorithms that use a spectral library of validated samples for image classification. The classification capabilities of DeepGeoMap have been tested using two geological hyperspectral image data sets. Both are geochemically validated hyperspectral data sets one based on iron ore and the other based on copper ore samples. The copper ore laboratory data set was used to train a DeepGeoMap model for the classification and analysis of a larger mine face scene within the Republic of Cyprus, where the samples originated from. Additionally, a benchmark satellite-based dataset, the Indian Pines data set, was used for training and testing. The classification accuracy of DeepGeoMap was compared to classical algorithms and other convolutional neural networks. It was shown that DeepGeoMap could achieve higher accuracies and outperform these classical algorithms and other neural networks in the geological hyperspectral image classification test cases. The spectral focus of DeepGeoMap was found to be the most considerable advantage compared to spectral-spatial classifiers like 2D or 3D neural networks. This enables DeepGeoMap models to train data independently of different spatial entities, shapes, and/or resolutions.
Emotions are a complex concept and they are present in our everyday life. Persons on the autism spectrum are said to have difficulties in social interactions, showing deficits in emotion recognition in comparison to neurotypically developed persons. But social-emotional skills are believed to be positively augmented by training. A new adaptive social cognition training tool “E.V.A.” is introduced which teaches emotion recognition from face, voice and body language. One cross-sectional and one longitudinal study with adult neurotypical and autistic participants were conducted. The aim of the cross-sectional study was to characterize the two groups and see if differences in their social-emotional skills exist. The longitudinal study, on the other hand, aimed for detecting possible training effects following training with the new training tool. In addition, in both studies usability assessments were conducted to investigate the perceived usability of the new tool for neurotypical as well as autistic participants. Differences were found between autistic and neurotypical participants in their social-emotional and emotion recognition abilities. Training effects for neurotypical participants in an emotion recognition task were found after two weeks of home training. Similar perceived usability was found for the neurotypical and autistic participants. The current findings suggest that persons with ASC do not have a general deficit in emotion recognition, but are in need for more time to correctly recognize emotions. In addition, findings suggest that training emotion recognition abilities is possible. Further studies are needed to verify if the training effects found for neurotypical participants also manifest in a larger ASC sample.
From Brock to Brett
(2021)
This master's thesis in US American cultural studies posits that the phenomenon of rape culture represents a socio-cultural system of social power structures and cultural myths. Based on so-called rape myths, this system also constitutes an ideology. The thesis aims to demonstrate how these rape myths are instrumentalized in order to protect (primarily white, cis-male) perpetrators and instead assign responsibility to those affected by sexualized violence. In doing so, the thesis shows that young men like Brock Turner, who benefit from patriarchal power structures, grow up to become men like Brett Kavanaugh, who not only benefit from the fact that rape culture excuses their abusive behavior, but also from the fact that this enables them to reach positions of power through which they, as decision-makers, can in turn maintain the structures underlying rape culture.
The thesis focuses on the rape myths of so-called victim blaming and shaming as well as the victimization of perpetrators. These myths are examined by analyzing 19th-century newspaper articles and then traced into the 21st century. Based on Mary Douglas' theory on ideas of purity, the thesis shows the extent to which not only social categories, namely gender, race, socio-economic status, and age, but also the sexual purity or impurity of those affected have an impact on the societal response to rape cases.
Furthermore, the thesis demonstrates how female bodies function as an ideological battleground for political and social change in the US, and how perceived threats to the patriarchal status quo are framed in public discourse as moral dangers posed by female bodies. The paper argues that rape culture is driven by (white cis) male entitlement to female bodies but moreover to positions of power in the patriarchal system. The thesis shows how this system instrumentalizes rape culture to maintain its underlying structures that favor (cis) men and, in contrast, disadvantage (cis) women and other marginalized and non-heteronormative groups. This is illustrated by analyzing the 2016 Stanford rape case and the 2018 Kavanaugh hearing.
Hunting Down Animal Verbs
(2022)
Language change is an essential feature of human language, and it is therefore one of the focal areas of the scientific study of language. Language change is always tacitly at work in all languages of the world and at all levels of a given language, be it phonology, morphology, syntax, semantics, etc. It has been suggested that it is precisely the capacity to constantly change and adjust that allows language to keep serving the communicative goals of its users, from ancient to modern times (Fauconnier & Turner, 2003, p. 179).
This thesis investigates an especially salient pattern of lexicogrammatical change, namely word-formation of verbs from animal nouns by zero-derivation, in the process of which such nouns as, for example, dog, horse, or beaver change their usage and meaning to produce animal verbs: to dog ‘to follow someone persistently and with a malicious intent’, to horse about/around ‘to make fun of, to ‘rag’, to ridicule someone’ and to beaver away ‘to work at working with great enthusiasm’ respectively. In the previous literature this pattern of language change has been termed verbal zoosemy (e.g. Kiełtyka, 2016), i.e. metaphorical construal of human actions by means of linguistic material from the domain of animals.
The approach taken in this study is not to simply report on the objective changes in the morphology, syntactic distribution and meaning of such linguistic units before and after conversion, but to uncover the complexity of cognitive mechanisms which allow the speakers of English to reclassify such well-established nominal units as animal noun into verbs. It is assumed that the grammatical change in these lexical units is predicated on and triggered by preceding semantic change. Thus, the study is set in the framework of Cognitive Historical Semantics and employs the Conceptual Metaphor and Metonymy Theory (CMMT) to untangle the intricacies of the semantic change making the grammatical change of animal nouns into verbs possible and acceptable in the minds of English speakers.
To this end, this study employed the Oxford English Dictionary Online (OED Online) to compile a glossary of 96 denominal animal verbal forms tied to 209 verbal senses (most verbs in the dataset displayed polysemy). The data collected from the OED Online included not only the senses of the verbs, but also the date of the earliest recorded use of the verbal form with the given sense (regarded in the study as the date of conversion), the earliest usage examples for individual senses and morphologically or semantically related linguistic units from the lexical field of the respective parent noun which were amenable to explaining the observed instances of semantic change. Each instance of zoosemisation, i.e. of the creation of a separate metaphorical verbal sense, was then carefully analysed on the basis of the data collected and classified with the help of the CMMT. In the final stage, a comprehensive and systematic classification of the senses of animal verbs in accordance with the cognitive mechanisms of their creation (metaphor, metonymy, or a combination thereof) was produced together with a timeline of the first appearance of individual metaphorical senses of animal verbs recorded in the OED.
The results show that animal verbs are produced through the interaction of conceptual metaphor and metonymy. Specifically, it was established that two major patterns of metaphor-metonymy interaction underpinning the process of verbal zoosemisation are metaphor from metonymy and metonymy from metaphor. In the former pattern, either an already existing metonymic animal verb is expanded to include the target domain PEOPLE, or the animal noun itself acts as a metonymic vehicle to a certain element of the idealised cognitive model of the given animal, which is metaphorically projected onto people. In the latter mechanism, a metaphorical projection of an animal term initially enters the lexicon in the form of a metaphorical animal noun referring to a human entity, and later in the course of language development it comes to metonymically stand for the action, which the given entity either performs or is involved in. Secondarily, it was observed that individual animal nouns can undergo multiple rounds of zoosemic conversion over time depending on the semantic frame in which the given linguistic unit undergoes denominal conversion, and that results in the polysemy of most animal verbs.
Both horizontal-to-vertical (H/V) spectral ratios and the spatial autocorrelation method (SPAC) have proven to be valuable tools to gain insight into local site effects by ambient noise measurements. Here, the two methods are employed to assess the subsurface velocity structure at the Piano delle Concazze area on Mt Etna. Volcanic tremor records from an array of 26 broadband seismometers is processed and a strong variability of H/V ratios during periods of increased volcanic activity is found. From the spatial distribution of H/V peak frequencies, a geologic structure in the north-east of Piano delle Concazze is imaged which is interpreted as the Ellittico caldera rim. The method is extended to include both velocity data from the broadband stations and distributed acoustic sensing data from a co-located 1.5 km long fibre optic cable. High maximum amplitude values of the resulting ratios along the trajectory of the cable coincide with known faults. The outcome also indicates previously unmapped parts of a fault. The geologic interpretation is in good agreement with inversion results from magnetic survey data. Using the neighborhood algorithm, spatial autocorrelation curves obtained from the modified SPAC are inverted alone and jointly with the H/V peak frequencies for 1D shear wave velocity profiles. The obtained models are largely consistent with published models and were able to validate the results from the fibre optic cable.
The aesthetic phenomenon of the uncanny in literature and art is a spatial and gendered aesthetic concept, which is expressed in the spatial characteristics of a literary or photographic narrative. The intention of this thesis is to evaluate the entanglement of the uncanny, space, domesticity and femininity in the context of Gothic literature and photography. These four objects can only be read in their interplay with each other and how they each function as structural principles in the framework of Gothic fiction and photography. The literary texts, Charlotte Perkins Gilman’s “The Yellow Wall-Paper” (1892) and Shirley Jackson’s “The Lovely House” (1950) and The Haunting of Hill House (1959) as well as Francesca Woodman’s self-portraits that will be discussed further share one particular quality; they use the haunted house motif to express the protagonist’s psychological state by transferring mental hauntings onto the narrative’s spatial layer. The establishment of a connection between the concepts at hand, the uncanny, domesticity, spatiality and femininity, is the basis for the first half of the thesis. What follows is an overview of how domestic politics and gendered perceptions of and behaviors in spaces are expressed in the Gothic mode in particular. In the literary analysis two ways in which the Freudian uncanny constitutes itself in the haunted house narrative, first the house as the site of repetition and second the house as a stand-in for the maternal body, are examined. Drawing from Gernot Böhme’s and Martina Löw’s theoretic work on space and atmosphere the thesis focuses on the different aesthetic strategies that produce the uncanny atmosphere associated with the Gothic haunted house. The female subjects at the narratives’ center are in the ambiguous process of disappearing or becoming, this (dis)appearing act is facilitated by their haunted surroundings. In the case of the unnamed narrator in “Wall-Paper” her suppressed rage at her husband is mirrored in the strangled woman trapped inside the yellow wallpaper. Once she recognizes her doppelganger the union of her two selves takes place in the short story’s dramatic climax. In Shirley Jackson’s literary works the haunted houses, protagonists in themselves, entrap, transform, and ultimately devour their female daughter-victims. The haunted houses are symbols, means and places of the continuous tradition of female entrapment within the domestic sphere, be it as wives, mothers or daughters. In Francesca Woodman’s self-portraits the themes of creation/destruction and becoming/disappearing within the ruinous (post)domestic sphere are acted out by the fragmented and blurry female figure who intriguingly oscillates between self-empowerment and submission to destruction.