Racial Stereotypes in Fictions of Slavery: Uncle Tom´s Cabin by Harriet Beecher Stowe and O Escravo by José Evaristo D’ Almeida

Most stereotypes about Africans and their descendants started with colonialism in the fifteenth century. The encounter between Africans and Europeans facilitated the creation of myths and stereotypes about the colonized peoples, which were made effective through the naturalization of differences. The relationship between skin color and slavery developed to produce a racialized system of forced labor on which colonialism depended for its survival. Stereotypes functioned to legitimize colonial authority by building the notion that the colonizer ruled over the colonized because of an innate superiority. Therefore, stereotyping is an effective "discursive strategy" (Bhabha) based on fixity and repetition with the aim of controlling the other. Harriet Beecher Stowe’s Uncle Tom’s Cabin and José Evaristo D’Almeida O Escravo both denounced the evils of slavery in the United States of America and Cape Verde respectively, claiming for the end of the institution. However, they are both ambivalent towards slaves and blacks, being unable to envisage social equality for the two races. Both authors construct their black characters as stereotypical others, but they depict the light-skin characters as superior both culturally and physically. The bi-racial characters are portrayed as the ones who possess beauty and intelligence as an inheritance from their European ancestry, while blacks are relegated to the margins. We need to consider, however, that slavery in Cape Verde had different characteristics from its counterpart in the United States of America. In Cape Verde the Africans outnumbered the Europeans and that circumstance favored miscegenation and the emergence of forms of mixed culture, which came to be seen as positive and natural. In the United States of America miscegenation was regarded as a taboo since early. And even after Emancipation, “the one-drop rule” made the offspring of an African descendant black, however 'white' he or she might be.

One-sided tolerance interval in a two-way balanced nested model with mixed effects

In many research areas (such as public health, environmental contamination, and others) one deals with the necessity of using data to infer whether some proportion (%) of a population of interest is (or one wants it to be) below and/or over some threshold, through the computation of tolerance interval. The idea is, once a threshold is given, one computes the tolerance interval or limit (which might be one or two - sided bounded) and then to check if it satisfies the given threshold. Since in this work we deal with the computation of one - sided tolerance interval, for the two-sided case we recomend, for instance, Krishnamoorthy and Mathew [5]. Krishnamoorthy and Mathew [4] performed the computation of upper tolerance limit in balanced and unbalanced one-way random effects models, whereas Fonseca et al [3] performed it based in a similar ideas but in a tow-way nested mixed or random effects model. In case of random effects model, Fonseca et al [3] performed the computation of such interval only for the balanced data, whereas in the mixed effects case they dit it only for the unbalanced data. For the computation of twosided tolerance interval in models with mixed and/or random effects we recomend, for instance, Sharma and Mathew [7]. The purpose of this paper is the computation of upper and lower tolerance interval in a two-way nested mixed effects models in balanced data. For the case of unbalanced data, as mentioned above, Fonseca et al [3] have already computed upper tolerance interval. Hence, using the notions persented in Fonseca et al [3] and Krishnamoorthy and Mathew [4], we present some results on the construction of one-sided tolerance interval for the balanced case. Thus, in order to do so at first instance we perform the construction for the upper case, and then the construction for the lower case.