Beyond Caliban’s Curses: The Decolonial Feminist Literacy of Sycorax

Working from the perspective of decolonial feminism, this essay critiques works that view Caliban in Shakespeare’s The Tempest (1611) as a symbol of resistance to eurocentrism, as represented in the character of Prospero. I focus on the literary figure Sycorax, the racialized, sexualized and witched mother of Caliban, because the celebration of Caliban as a symbol of subaltern resistance in Latin American/Latino studies has led to her discursive erasure or marginalization. I critically trace appropriations of Caliban, as well as Miranda (Prospero’s daughter), that silence Sycorax. Fundamentally urging the construction of a “literacy of Sycorax,” this essay explores the eurocentric reluctance of writers and critics to seriously address issues of spirituality—particularly “feminine” and racialized spirituality—that are negatively coded as magic or superstition within the western modern-colonial imagination. I challenge Latin American/Latino, American, Women’s, and Literary studies to consider what it means to position oneself alongside Sycorax—or the racialized, sexualized, spiritually powerful woman of color other that she represents—in order to learn from her occluded tongue. As I argue, the literacy of Sycorax speaks to a third space beyond the oppositional cursing tongues of Caliban and Prospero. Here lies the prospect of healing internalized fear and loathing about “feminine” and racialized spirituality within ourselves and others

Verb similarity: comparing corpus and psycholinguistic data

Similarity, which plays a key role in fields like cognitive science, psycholinguistics and natural language processing, is a broad and multifaceted concept. In this work we analyse how two approaches that belong to different perspectives, the corpus view and the psycholinguistic view, articulate similarity between verb senses in Spanish. Specifically, we compare the similarity between verb senses based on their argument structure, which is captured through semantic roles, with their similarity defined by word associations. We address the question of whether verb argument structure, which reflects the expression of the events, and word associations, which are related to the speakers' organization of the mental lexicon, shape similarity between verbs in a congruent manner, a topic which has not been explored previously. While we find significant correlations between verb sense similarities obtained from these two approaches, our findings also highlight some discrepancies between them and the importance of the degree of abstraction of the corpus annotation and psycholinguistic representations.La similitud, que desempeña un papel clave en campos como la ciencia cognitiva, la psicolingüística y el procesamiento del lenguaje natural, es un concepto amplio y multifacético. En este trabajo analizamos cómo dos enfoques que pertenecen a diferentes perspectivas, la visión del corpus y la visión psicolingüística, articulan la semejanza entre los sentidos verbales en español. Específicamente, comparamos la similitud entre los sentidos verbales basados en su estructura argumental, que se capta a través de roles semánticos, con su similitud definida por las asociaciones de palabras. Abordamos la cuestión de si la estructura del argumento verbal, que refleja la expresión de los acontecimientos, y las asociaciones de palabras, que están relacionadas con la organización de los hablantes del léxico mental, forman similitud entre los verbos de una manera congruente, un tema que no ha sido explorado previamente. Mientras que encontramos correlaciones significativas entre las similitudes de los sentidos verbales obtenidas de estos dos enfoques, nuestros hallazgos también resaltan algunas discrepancias entre ellos y la importancia del grado de abstracción de la anotación del corpus y las representaciones psicolingüísticas.La similitud, que exerceix un paper clau en camps com la ciència cognitiva, la psicolingüística i el processament del llenguatge natural, és un concepte ampli i multifacètic. En aquest treball analitzem com dos enfocaments que pertanyen a diferents perspectives, la visió del corpus i la visió psicolingüística, articulen la semblança entre els sentits verbals en espanyol. Específicament, comparem la similitud entre els sentits verbals basats en la seva estructura argumental, que es capta a través de rols semàntics, amb la seva similitud definida per les associacions de paraules. Abordem la qüestió de si l'estructura de l'argument verbal, que reflecteix l'expressió dels esdeveniments, i les associacions de paraules, que estan relacionades amb l'organització dels parlants del lèxic mental, formen similitud entre els verbs d'una manera congruent, un tema que no ha estat explorat prèviament. Mentre que trobem correlacions significatives entre les similituds dels sentits verbals obtingudes d'aquests dos enfocaments, les nostres troballes també ressalten algunes discrepàncies entre ells i la importància del grau d'abstracció de l'anotació del corpus i les representacions psicolingüístiques

The regulation of real estate in the Mendoza's territorial management plan

Fil: Lara, Andrea Juliana. Universidad Nacional de Cuyo. Facultad de DerechoFil: Pujol, Irene. Universidad Nacional de Cuyo. Facultad de Derech

Ann: A domain-specific language for the effective design and validation of Java annotations

This is the author’s version of a work that was accepted for publication in Computer Languages, Systems & Structures. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Languages, Systems & Structures, VOL 45, (2016) DOI 10.1016/j.cl.2016.02.002This paper describes a new modelling language for the effective design and validation of Java annotations. Since their inclusion in the 5th edition of Java, annotations have grown from a useful tool for the addition of meta-data to play a central role in many popular software projects. Usually they are not conceived in isolation, but in groups, with dependency and integrity constraints between them. However, the native support provided by Java for expressing this design is very limited. To overcome its deficiencies and make explicit the rich conceptual model which lies behind a set of annotations, we propose a domain-specific modelling language. The proposal has been implemented as an Eclipse plug-in, including an editor and an integrated code generator that synthesises annotation processors. The environment also integrates a model finder, able to detect unsatisfiable constraints between different annotations, and to provide examples of correct annotation usages for validation. The language has been tested using a real set of annotations from the Java Persistence API (JPA). Within this subset we have found enough rich semantics expressible with Ann and omitted nowadays by the Java language, which shows the benefits of Ann in a relevant field of application.We would like to thank the reviewers for their detailed comments, which helped us in improving a previous version of this paper. This work has been partially supported by the Spanish Ministry of Economy and Competitivity with project FLEXOR (TIN2014-52129-R) and the Community of Madrid with project SICOMORO-CM (S2013/ICE-3006)

A modelling language for the effective design of Java annotations

This paper describes a new modelling language for the ef- fective design of Java annotations. Since their inclusion in the 5th edition of Java, annotations have grown from a use- ful tool for the addition of meta-data to play a central role in many popular software projects. Usually they are con- ceived as sets with dependency and integrity constraints within them; however, the native support provided by Java for expressing this design is very limited. To overcome its deficiencies and make explicit the rich conceptual model which lies behind a set of annotations, we propose a domain-specific modelling language. The proposal has been implemented as an Eclipse plug- in, including an editor and an integrated code generator that synthesises annotation processors. The language has been tested using a real set of annotations from the Java Per- sistence API (JPA). It has proven to cover a greater scope with respect to other related work in diferent shared areas of application

Ann: a domain-specific language for the effective design and validation of Java annotations

This paper describes a new modelling language for the effective design and validation of Java annotations. Since their inclusion in the 5th edition of Java, annotations have grown from a useful tool for the addition of meta-data to play a central role in many popular software projects. Usually they are not conceived in isolation, but in groups, with dependency and integrity constraints between them. However, the native support provided by Java for expressing this design is very limited. To over come its deficiencies and make explicit the rich conceptual model which lies behind a set of annotations,we propose a domain-specific modelling language.The proposal has been implemented as an Eclipse plug-in, including an editor and an integrated code generator that synthesises annotation processors. The environmental so integrates a model finder,able to detectun satisfiable constraints between different annotations, and to provide examples of correct annotation usages for validation. The language has been tested using a real set of annotations from the Java Persistence API(JPA).Within this subset we have found enough rich semantics expressible with Ann and omitted nowadays by the Java language, which shows the benefits of Ann in are levant field of application

Detecting and visualizing differences in brain structures with SPHARM and functional data analysis

A new procedure for classifying brain structures described by SPHARM is presented. We combine a dimension reduction technique (functional principal component analysis or functional independent component analysis) with stepwise variable selection for linear discriminant classification. This procedure is compared with many well-known methods in a novel classification problem in neuroeducation, where the reversal error (a common error in mathematical problem solving) is analyzed by using the left and right putamens of 33 participants. The comparison shows that our proposal not only provides outstanding performance in terms of predictive power, but it is also valuable in terms of interpretation, since it yields a linear discriminant function for 3D structures

Ordinal classification of 3D brain structures by functional data analysis

We introduce several ordinal classification methods for functional data, specificallymultiargument and multivariate functional data. Their performance is analyzed in fourreal data sets that belong to a neuroeducational problem and a neuropathologicalproblem.Funding for open access charge: CRUE-Universitat Jaume

A neuroimaging data set on problem solving in the case of the reversal error: Putamen data

Structural Magnetic Resonance Images (sMRI) for a sample of university students were recorded. Out of magnetic resonance, students performed a test of algebra problem solving. As we are interested in reversal errors, the test was prepared to detect this kind of error. Depending on the number of mistakes made, students were divided into two groups: one group contains 15 students that responded erroneously to more than 60% of the 16 questions, and the other group contains 18 students that did not make any mistake. We are interested in the more relevant brain structures for this neuroeducation problem. The analysis of these data can be found in Ferrando et al. (2020) [1]. The results of the volumetric analysis showed differences between groups in the right and left putamen. Therefore, both putamens were pre-processed and segmented to use them in the shape analysis. The dataset contains the slices of the left and right putamen and the left putamen of each of 33 subjects, 20 females. It also contains a vector that indicates the group to each subject belongs to