A Qualitative Study of the Evolution and Erasure of Black Feminism in Historic and Contemporary Sociopolitical Movements, And Black Men’s Resistance To Black Feminism

Although Black Feminism can be traced to the period of American slavery, what may be considered the most prevalent emergence of “Black Feminism” came about in the mid-1970s, when it proved apparent that the second wave of the Women’s Movement, overwhelmingly white, was discriminatory towards “Black, other Third World, and working women” (Smith, Smith, & Frazier, 2014), who often faced multiple forms of oppression (Simien, 2004). Contemporary Black feminists have followed the activism of earlier Black feminists, leading to a disruption of racial, gender, and sexual norms both in general society, and in the Black community itself. From a Black and intersectional feminist perspective, this research will analyze (1) the history of Black women engaging in feminist movements, (2) the evolution and erasure of Black Feminism, and (3) Beyonce’s visual album, Lemonade, as a product of historic and living Black feminism

When life gives you lemons, get in formation: A Black feminist analysis of Beyonce\u27s visual album, Lemonade

Beyonce\u27s visual album, Lemonade, has been considered a Black feminist piece of work because of the ways in which it centralizes the experiences of Black women, including their love relationships with Black men, their relationships with their mothers and daughters, and their relationships with other Black women. The album shows consistent themes of motherhood, the love and trouble tradition, and Afrocentrism. Because of its hint of Afrocentrism, however, Lemonade can be argued as an anti Black feminist work because Afrocentrism holds many sexist beliefs of Black women. This essay will discuss the ways in which Lemonade\u27s inextricable influences of Black feminism and Afrocentrism, along with other anti Black feminist notions, can be used as a consciousness-raising tool

Experiments in Diversifying Flickr Result Sets

The 2013 MediaEval Retrieving Diverse Social Images Task looked to tackling the problem of search result diversification of Flickr results sets formed from queries about geographic places and landmarks. In this paper we describe our approach of using a min-max similarity diversifier coupled with pre-filters and a reranker. We also demonstrate a number of novel features for measuring similarity to use in the diversification step

Identifying the Geographic Location of an Image with a Multimodal Probability Density Function

There is a wide array of online photographic content that is not geotagged. Algorithms for efficient and accurate geographical estimation of an image are needed to geolocate these photos. This paper presents a general model for using both textual metadata and visual features of photos to automatically place them on a world map

An investigation of techniques that aim to improve the quality of labels provided by the crowd

The 2013 MediaEval Crowdsourcing task looked at the problem of working with noisy crowdsourced annotations of image data. The aim of the task was to investigate possible techniques for estimating the true labels of an image by using the set of noisy crowdsourced labels, and possibly any content and metadata from the image itself. For the runs in this paper, we’ve applied a shotgun approach and tried a number of existing techniques, which include generative probabilistic models and further crowdsourcing

Experimental Study on the Effect of Excitation Type on the Output-Only Modal Analysis Results

Output-only Modal Analysis (OMA) has found extensive use in the identification of dynamic properties of structures. This study aims to investigate the effect of excitation force on the accuracy of modal parameters. For this purpose, the modal parameters of a simply supported beam are obtained through the Experimental Modal Analysis (EMA) and the OMA method using three different types of artificial and natural excitations, namely a shaker, acoustic waves, and environmental noise. Frequency Domain Decomposition (FDD) technique is used to identify dynamic characteristics. Finally, these results are compared with those obtained by the analytical method and the EMA method. The results demonstrated the following: 1) Acoustic excitation presents the natural frequencies with the smallest errors in comparison with the analytical results. 2) Inaccuracy is observed at certain natural frequencies during the excitation with a shaker with respect to the connecting point between the shaker and the beam. 3) Modal Assurance Criterion (MAC) showed that the mode shapes extracted by the acoustic excitations are more similar to the analytical results