This article outlines the progression of topics used to highlight gender in a clinical medical anthropology class. As the class moves through themes such as the use of high-technology medicine and doctor-patient communication, issues of the socially constructed nature of gender are brought to the fore. Included in this article are students' reflections on how they try to make sense of diverse n...

Using three of the clinical articles in this special issue of the Journal of Homosexuality as examples, the author attempts to show how their views of gender may influence clinicians' conceptualizations and treatment choices in response to children diagnosed with gender identity disorder (GID), or gender dysphoria. In particular the author argues that the belief that gender is a psychophysiolog...

The present study examined the impact of gender identity threat on adolescents' occupational preferences. Two hundred and ninety-seven adolescents (45% girls, M age = 14.4, SD = .54) participated in the experiment. There were substantial differences between boys' and girls' occupational preferences. Importantly, adolescents who received a threat to their gender identity became more stereotypica...

Recent shifts in the consumer base of the sex industry have involved greater female attendance in strip clubs. This article examines how strip clubs and dancers incorporate female patrons into a sexualized space traditionally designed for men by identifying three interactional processes: passing over, sidestaging, and tailoring. We suggest dancers pass over women because they perceive female pa...

The widespread use of deception in online sources has motivated the need for methods to automatically profile and identify deceivers. This work explores deception, gender and age detection in short texts using a machine learning approach. First, we collect a new open domain deception dataset also containing demographic data such as gender and age. Second, we extract feature sets including n-gra...

Gender classification based on facial images has received increased attention in the computer vision literature. Previous work on this topic has focused on images acquired in the visible spectrum (VIS). We explore the possibility of predicting gender from face images acquired in the near-infrared spectrum (NIR). In this regard, we address the following two questions: (a) Can gender be predicted...