Analyzing the March for Science Diversity Discourse

Analyzing the March for Science Diversity Discourse_HEADER

This article was first published on DiverseScholar, on 27 March 2017.

Following the high profile of the Women’s March against the Trump Administration on January 21, 2017, the idea for March for Science (MfS) grew from various social media conversations by scientists who wanted to rally against the science policy changes, funding cuts, gag orders, and the administrative overhaul of science organisations by the Trump Government [Zevallos 2017a]. The MfS has had an unusual trajectory for a social justice movement. Most organisations emerge through a collective of like-minded individuals who pass through four key phases of social action (forming, storming, norming, performing) that lead to the articulation of public goals and actions [Tuckman 1965]. The MfS has followed a rather haphazard path. A website and social media communities were first established, initially emerging as a Twitter account on January 24. MfS promoted the idea of a March using social media without having put together a formal team beyond its two founding co-chairs [Zevallos 2017a]. At the time of writing, these accounts have over 2 million supporters.[i]

The march is scheduled to occur globally on April 22 in over 400 cities. The aims and functions of the march have been drastically altered in the first two months of its existence, especially as the organisers began to receive critique from the scientific community. By early-March, the five “core goals” of the march were settled; one of which is: “Diversity and Inclusion in STEM” (science, technology, engineering, and mathematics).

In media interviews and through its social media communications, the organisers have undermined this goal. By early February, the organisers set up the march by making two problematic statements:

  1. the march was “not political” [St. Fleur 2017]; and
  2. the march was not about scientists, but instead, “It’s about science” [Zamudio-Suaréz 2017].

Inadvertently these two premises have created an anti-diversity discourse that has been subsequently adopted by a vocal majority of the MfS supporter base.

Discourses are tricky…entrenched

In sociology, the concept of discourse describes how language comes to convey and justify dominant ways of thinking, talking, and behaving [Weedon 1996]. Discourses are built around the social identities, values, interests, and power of dominant groups [Foucault 1980]. This means that the stories we tell about “Why things are the way they are,” reinforce the status quo, and thus justify the reasoning, policies, and practices of groups that already have institutional control [Foucault 1965; 1994].

Discourses are tricky: they become firmly entrenched in our imagination as the “right” way of thinking because of the way we are raised, as well as how we are trained in specific professional fields. Discourses often mask value judgements that support the rights of some groups over others. This means that discourses reproduce inequality without us taking much notice.

The idea that White men are the taken-for-granted norm of what it means to be a scientist is learned early in school, and then reinforced throughout education, career progression, prestigious prizes, the publications, and funding systems [Zevallos, Samarasinghe, and Rao 2014]. Institutional mechanisms in science serve to reinforce a discourse that naturalises White men’s dominance in science [Zevallos 2017a].

Counter-discourses challenge the norm. They represent ways to resist and revolutionise existing power relations [Diamond and Quinby 1988]. So how do we establish a counter-discourse for science that embraces diversity as a strength?

I will show how the MfS organisers have come to reproduce the existing discourse of science, by normalising the interests of scientists who are White and from majority backgrounds. I present an analysis on public reactions to the third (of four) MfS diversity statements that reflect this position (see the statements in Appendix A). I will illustrate how taking a proactive, counter-discourse position on diversity will improve current relations with underrepresented scientists who have lost confidence in the march due to issues of inclusion [cf. Zevallos 2017f].

March for Science Facebook coverpage, showing their logo and date: April 22, 2017

The purpose of this analysis is to encourage critical thinking about how the march organisers communicate with the public, and to strengthen awareness of how science discourses reinforce exclusion. Bear in mind that discourses are not always reflected consciously, and so the march organisers and commenters may not be aware of the historical and cultural impact of the ideas they express. Sociological methods make explicit the hidden meaning that individuals take-for-granted, placing ideas in broader social context.

I start by showing the organisers’ shifting diversity position.

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Science Inequality in the News: Avoiding Dangerous Gender Narratives in STEM

Two women and one man in a pharmacy

This article was first published in DiverseScholar, on 31 December 2014.

Throughout 2014, there were a couple of notable media controversies involving the reporting of social science research on gender. There have also been a range of other science publishing problems that have demonstrated the gender problems within science. These two trends are linked to media narratives and public confusion about issues of gender and science. One of the most recent media wrangles arises from The New York Times Op-Ed by psychologists Professor Wendy Williams and Professor Stephen Ceci (Williams & Ceci 2014). I have covered the methodological flaws of the study on which the Op-Ed was based (Zevallos 2014a). The study is headed by Ceci and, in addition to Williams, their research team also includes two economists. In this three-part series of articles for DiverseScholar, I provide supplementary analysis challenging the gender assumptions of their study. Specifically, I show how the study’s conclusions conflict with broader social science research on inequality within Science, Technology, Engineering and Math (STEM).

In this first article, I will show how social science research can be used to serve an agenda that undermines gender diversity. I use sociology to show the issues arising when the media and some researchers, such as Ceci and William’s team, draw on an individual narrative to explain gender inequality. In the second article, I will discuss why the media and the public enjoy discussing studies on “sex differences,” and how the appetite for simplistic explanations of gender entrench pre-existing gender biases. In the final article, I discuss why social scientists have to be extra careful when we write about gender in popular press, and how we can better support gender diversity in science.

I am focusing my analysis on cultural discussions of cisgender, as this was the (problematic) de facto focus of Ceci and colleagues, given that they only talked about “men” and “women.” Cisgender describes men and women whose gender identity aligns with their ascribed sex (the biology and bodies they were born into). This means I am not predominantly writing about transgender, intersex and other genders; but, I signal here that this is a narrow conception of gender.

The concept of sex is distinct from gender. Sex describes biological differences between men and women; but, gender looks at how culture influences the myriad of ways that these differences are perceived. Gender is more fluid than two binary categories of male and female (Zevallos 2014b). Explanations that draw on sex rather than gender, such as Ceci and colleagues’ study, implicitly rely on a biological narrative, by saying girls and boys are “naturally” attracted to different tasks and that they make different choices because they’re male or female. Herein lays the biggest problem with the communication of gender to the masses, especially via the media. Simplistic explanations win out, while the complexity of gender inequality is swept under a narrative of individual women’s choices. Let’s explore these issues by delving deeper into the biases in the study by Ceci and his team.

Continue reading Science Inequality in the News: Avoiding Dangerous Gender Narratives in STEM

Sexism in Science Reporting

Man and woman scientists hold test tubes

This article was first published in  DiverseScholar, on 20 April, 2015.

In my previous DiverseScholar article, I showed why the study behind The New York Times Op Ed (claiming the end of sexism) was methodologically flawed and ideologically biased [Zevallos 2014]. I showed that a focus on an individual choice narrative to explain why women are disadvantaged in STEM (Science, Technology, Engineering and Math) is fundamentally unsound when understood alongside the long-standing empirical evidence from the social sciences. Here, I will review several science controversies related to the editorial and institutional decisions within STEM. These patterns show that everyday interactions contribute to gender inequality, from the use of images, to dress, to the way distinguished women scientists are described in the media. I start with a selected timeline of events highlighting gender inequality in STEM.

Continue reading Sexism in Science Reporting