Newest Papers
RAPE OF THE SUBALTERN: INDIA'S RECENT SEXUAL VIOLENCE IN PERSPECTIVE
Tanni Chaudhuri, Arindam Mandal
International Review of Modern Sociology·2017
Recently India has experienced an upsurge in sexual violence against women. Many of the victims/survivors whose accounts have made it into the headlines are from less privileged or upwardly mobile segments of Indian society. We take a different approach to make sense of the trend by examining the potential linkages between recent socio-economic changes and rising violence against women, with particular emphasis on rape. This paper reflects upon women's social standing within the context of economic changes and explores empincal trends pertaining to crimes against women. In the end we try to hung our theoretical and statistical considerations together to reflect upon the reasons for India's recent rise in crimes against women.
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View paper →Warriors for Lower Prices: The New Orleans Housewives' League and the Consumer Cooperative Movement, 1913–1921
Anne M. Gessler
Journal of Southern History·2017
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View paper →In Defense of Transracialism
Rebecca Tuvel
Hypatia·2017·85 citations
<jats:p>Former NAACP chapter head Rachel Dolezal's attempted transition from the white to the black race occasioned heated controversy. Her story gained notoriety at the same time that Caitlyn Jenner<jats:sup>*</jats:sup> graced the cover of Vanity Fair, signaling a growing acceptance of transgender identity. Yet criticisms of Dolezal for misrepresenting her birth race indicate a widespread social perception that it is neither possible nor acceptable to change one's race in the way it might be to change one's sex. Considerations that support transgenderism seem to apply equally to transracialism. Although Dolezal herself may or may not represent a genuine case of a transracial person, her story and the public reaction to it serve helpful illustrative purposes.</jats:p>
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View paper →VI. Cultivating Imagination: Literature and the Arts
Martha C. Nussbaum
Not for Profit·2016
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View paper →YOLO9000: Better, Faster, Stronger
Joseph Redmon, Ali Farhadi
arXiv·2016
We introduce YOLO9000, a state-of-the-art, real-time object detection system that can detect over 9000 object categories. First we propose various improvements to the YOLO detection method, both novel and drawn from prior work. The improved model, YOLOv2, is state-of-the-art on standard detection tasks like PASCAL VOC and COCO. At 67 FPS, YOLOv2 gets 76.8 mAP on VOC 2007. At 40 FPS, YOLOv2 gets 78.6 mAP, outperforming state-of-the-art methods like Faster RCNN with ResNet and SSD while still running significantly faster. Finally we propose a method to jointly train on object detection and classification. Using this method we train YOLO9000 simultaneously on the COCO detection dataset and the ImageNet classification dataset. Our joint training allows YOLO9000 to predict detections for object classes that don't have labelled detection data. We validate our approach on the ImageNet detection task. YOLO9000 gets 19.7 mAP on the ImageNet detection validation set despite only having detection data for 44 of the 200 classes. On the 156 classes not in COCO, YOLO9000 gets 16.0 mAP. But YOLO can detect more than just 200 classes; it predicts detections for more than 9000 different object categories. And it still runs in real-time.
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