First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.

A number of recent popular books about gender differences have drawn on the neuroscientific literature to support the claim that certain psychological differences between the sexes are ‘hard-wired’. This article highlights some of the ethical implications that arise from both factual and conceptual errors propagated by such books.

In this article, I argue that gender is a primary cultural frame for coordinating behavior and organizing social relations. I describe the implications for understanding how gender shapes social behavior and organizational structures. By my analysis, gender typically acts as a background identity that biases, in gendered directions, the performance of behaviors undertaken in the name of organizational roles and identities. I develop an account of how the background effects of the gender frame on behavior vary by the context that (...) different organizational and institutional structures set but can also infuse gendered meanings into organizational practices. Next, I apply this account to two empirical illustrations to demonstrate that we cannot understand the shape that the structure of gender inequality and gender difference takes in particular institutional or societal contexts without taking into account the background effects of the gender frame on behavior in these contexts. (shrink)

In this article, the author argues that we need to conceptualize gender as a social structure, and by doing so, we can better analyze the ways in which gender is embedded in the individual, interactional, and institutional dimensions of our society. To conceptualize gender as a structure situates gender at the same level of general social significance as the economy and the polity. The author also argues that while concern with intersectionality must continue to be paramount, different structures of inequality (...) have different constructions and perhaps different influential causal mechanisms at any given historical moment. We need to follow a both/and strategy to understand gender structure, race structure, and other structures of inequality as they currently operate while also systematically paying attention to how these axes of domination intersect. Finally, the author suggests we pay more attention to doing research and writing theory with explicit attention to how our work can indeed help transform as well as inform society. (shrink)

1. Sexual Brains and Body Politics 2. Hormones and Hardwiring 3. Making Sense of Brain Organization Studies 4. Thirteen Ways of Looking at Brain Organization 5. Working Backward from “Distinct‘ Groups 6. Masculine and Feminine Sexuality 7. Sexual Orienteering 8. Sex-Typed Interests 9. Taking Context Seriously 10. Trading Essence for Potential.

Using contemporary data from the U.S. and other nations, we address 3 questions: Do gender differences in mathematics performance exist in the general population? Do gender differences exist among the mathematically talented? Do females exist who possess profound mathematical talent? In regard to the first question, contemporary data indicate that girls in the U.S. have reached parity with boys in mathematics performance, a pattern that is found in some other nations as well. Focusing on the second question, studies find more (...) males than females scoring above the 95th or 99th percentile, but this gender gap has significantly narrowed over time in the U.S. and is not found among some ethnic groups and in some nations. Furthermore, data from several studies indicate that greater male variability with respect to mathematics is not ubiquitous. Rather, its presence correlates with several measures of gender inequality. Thus, it is largely an artifact of changeable sociocultural factors, not immutable, innate biological differences between the sexes. Responding to the third question, we document the existence of females who possess profound mathematical talent. Finally, we review mounting evidence that both the magnitude of mean math gender differences and the frequency of identification of gifted and profoundly gifted females significantly correlate with sociocultural factors, including measures of gender equality across nations. (shrink)

The differences model, which argues that males and females are vastly different psychologically, dominates the popular media. Here, the author advances a very different view, the gender similarities hypothesis, which holds that males and females are similar on most, but not all, psychological variables. Results from a review of 46 meta-analyses support the gender similarities hypothesis. Gender differences can vary substantially in magnitude at different ages and depend on the context in which measurement occurs. Overinflated claims of gender differences carry (...) substantial costs in areas such as the workplace and relationships. (shrink)