politics: the state

On the Data is Beautiful subreddit, a user going by the name fencelizard recently took a look at gender differences in full-time staff salaries in the last four U.S. Presidential administrations. This is only a quick descriptive picture (notes on the methodology below), but it highlights an important point about organizations: inequality doesn’t always neatly align with ideology.

Both the wide and the narrow median pay gaps are bipartisan. While the Clinton and the early Trump administrations have the widest gaps in median earnings, the George W. Bush and Obama administrations were the closest to gender parity (the gap was not statistically significant in the Obama years).

Of course, these gaps mean different things in different administrations. The parity among Bush staffers looks like it came from pay cuts on both sides, with more men remaining in a higher salary range, while the Obama administration had a much more even distribution across men and women. Part of the pattern for the Trump administration could be due to understaffing in general.

Nevertheless, it is interesting to see how the salary distribution for women staffers has remained relatively consistent and lower than fluctuating salaries for men. Sociologists know that inequality can be embedded in the day-to-day operations of institutions like schools, prisons, and government offices. Bias certainly can and does play a role in this process, but the ideological support that we often associate with such biases—like political preferences—doesn’t always have to be the deciding factor for whether inequality happens.

Some background on the analysis from fencelizard:

Salary data was sourced from white house press releases for Trump (PDF tables; FML) and Obama (UTF-8 csv’s; thanks Obama), and from the Washington Post for Bush (http://www.washingtonpost.com/wp-srv/politics/administration/whbriefing/2004stafflistb.html) and Clinton (https://www.washingtonpost.com/archive/politics/1993/11/01/salaries-at-clintons-white-house/9c96f5b6-02c5-4888-87ee-dc547d8d93f0/?utm_term=.aa70a4af1649). Supposedly full salary data for Bush I exists too, but I couldn’t find it anywhere online.
I cleaned up the data in R, used the ‘gender’ package to guess staffers’ gender from their first names, and made the plots with ggplot2 and gridExtra. I used a Wilcox test to compare the distribution of salaries across genders for each president. Asterisks in the figure above indicate significantly different distributions.

Evan Stewart is a Ph.D. candidate in sociology at the University of Minnesota. You can follow him on Twitter.

Monday is Labor Day in the U.S. Though to many it is a last long weekend for recreation and shopping before the symbolic end of summer, the federal holiday, officially established in 1894, celebrates the contributions of labor.

Here are a few dozen SocImages posts on a range of issues related to workers, from the history of the labor movement, to current workplace conditions, to the impacts of the changing economy on workers’ pay:

The Social Construction of Work

Work in Popular Culture

Unemployment, Underemployment, and the “Class War”

Unions and Unionization

Economic Change, Globalization, and the Great Recession

Work and race, ethnicity, religion, and immigration

Gender and Work

The U.S. in International Perspective

Academia

Just for Fun

Bonus!

Lisa Wade, PhD is a professor at Occidental College. She is the author of American Hookup, a book about college sexual culture, and a textbook about gender. You can follow her on Twitter, Facebook, and Instagram.

Flashback Friday.

The percent of carless households in any given city correlates very well with the percent of homes built before 1940. So what happened in the 40s?

According to Left for LeDroit, it was suburbs:

The suburban housing model was — and, for the most part, still is — based on several main principles, most significantly, the uniformity of housing sizes (usually large) and the separation of residential and commercial uses. Both larger lots and the separation of uses create longer distances between any two points, requiring a greater effort to go between home, work, and the grocery store.

These longer distances between daily destinations made walking impractical and the lower population densities made public transit financially unsustainable. The only solution was the private automobile, which, coincidentally, benefited from massive government subsidies in the form of highway building and a subsidized oil infrastructure and industry.

Neighborhoods designed after World War II are designed for cars, not pedestrians; the opposite is true for neighborhoods designed before 1940. Whether or not one owns a car, and how far one drives if they do, then, is dependent on the type of city, not personal characteristics like environmental friendliness.  Ezra Klein puts it nicely:

In practice, this doesn’t feel like a decision imposed by the cold realities of infrastructure. We get attached to our cars. We get attached to our bikes. We name our subway systems. We brag about our short walks to work. People attach stories to their lives. But at the end of the day, they orient their lives around pretty practical judgments about how best to live. If you need a car to get where you’re going, you’re likely to own one. If you rarely use your car, have to move it a couple of times a week to avoid street cleaning, can barely find parking and have trouble avoiding tickets, you’re going to think hard about giving it up. It’s not about good or bad or red or blue. It’s about infrastructure.

Word.

Neither Ezra nor Left for LeDroit, however, point out that every city, whether it was built for pedestrians or cars, is full of people without cars. In the case of car-dependent cities, this is mostly people who can’t afford to buy or own a car. And these people, in these cities, are royally screwed. Los Angeles, for example, is the most expensive place in the U.S. to own a car and residents are highly car-dependent; lower income people who can’t afford a car must spend extraordinary amounts of time using our mediocre public transportation system, such that carlessness contributes significantly to unemployment.

Originally posted in 2010.

Lisa Wade, PhD is a professor at Occidental College. She is the author of American Hookup, a book about college sexual culture, and a textbook about gender. You can follow her on Twitter, Facebook, and Instagram.

Photo by Ted Eytan; flickr creative commons.

President Trump recently declared that Obamacare is “essentially dead” after the House of Representatives passed legislation to replace existing health care policy. While members of the Senate are uncertain about the future of the proposed American Health Care Act (AHCA) — which could ultimately result in as many as 24 million people losing their health insurance and those with pre-existing conditions facing increasing health coverage costs — a growing number of Americans, especially women, are sure that the legislation will be bad for their health, if enacted.

On the same day that the House passed the Republican-backed plan, for example, a friend of mine revealed on social media that she had gotten her yearly mammogram and physical examination. She posted that the preventative care did not cost anything under her current employer benefit plan, but would have been prohibitively expensive without insurance coverage, a problem faced by many women across the United States. For instance, the American Cancer Society reports that in 2013 38% of uninsured women had a mammogram in the last two years, while 70% of those with insurance did the same. These disparities are certainly alarming, but the problem is likely to worsen under the proposed AHCA.

Breast care screenings are currently protected under the Affordable Care Act’s Essential Health Benefits, which also covers birth control, as well as pregnancy, maternity, and newborn care. The proposed legislation supported by House Republicans and Donald Trump would allow individual states to eliminate or significantly reduce essential benefits for individuals seeking to purchase health insurance on the open market.

Furthermore, the current version of the AHCA would enable individual states to seek waivers, permitting insurance companies to charge higher premiums to people with pre-existing conditions, when they purchase policies on the open market. Making health insurance exorbitantly expensive could have devastating results for women, like those with a past breast cancer diagnosis, who are at risk of facing recurrence. Over 40,000 women already die each year from breast cancer in our country, with African-American women being disproportionately represented among these deaths.

Such disparities draw attention to the connection between inequality and health, patterns long documented by sociologists. Recent work by David R. Williams and his colleagues, for instance, examines how racism and class inequality help to explain why the breast cancer mortality rate in 2012 was 42% higher for Black women than for white women. Limiting affordable access to health care — which the AHCA would most surely do — would exacerbate these inequalities, and further jeopardize the health and lives of the most socially and economically vulnerable among us.

Certainly, everyone who must purchase insurance in the private market, particularly those with pre-existing conditions stand to lose under the AHCA. But women are especially at risk. Their voices have been largely excluded from discussion regarding health care reform, as demonstrated by the photograph of Donald Trump, surrounded by eight male staff members in January, signing the “global gag order,” which restricted women’s reproductive rights worldwide. Or as illustrated by the photo tweeted  by Vice-President Pence in March, showing him and the President, with over twenty male politicians, discussing possible changes to Essential Health Benefits, changes which could restrict birth control coverage, in addition to pregnancy, maternity, and newborn care. And now, as all 13 Senators slated to work on revisions to the AHCA are men.

Women cannot afford to be silent about this legislation. None of us can. The AHCA is bad for our health and lives.

Jacqueline Clark, PhD is an Associate Professor of Sociology and Chair of the Sociology and Anthropology Department at Ripon College. Her research interests include inequalities, the sociology of health and illness, and the sociology of jobs, work, and organizations.

Democrats and Republicans are deeply divided. By definition, political parties have differences of opinion. But these divisions have widened. Twenty years ago, your opinions on political issues did not line up the way we have come to expect them. Today, when you find you share an opinion with someone about systemic racism, you’re more likely to have like minds about environmental policies, welfare reform, and how they feel about the poor, gay and lesbian people, immigrants and immigration, and much more. In other words, Democrats and Republicans have become more ideologically consistent in recent history.

A recent Pew Report reported that in 1994, 64% of Republicans were more conservative than the median Democrat on a political values scale. By 2014, 92% of Republicans were more conservative than the median Democrat. Democrats have become more consistently liberal in their political values and Republicans have become more consistently conservative. And this has led to increasing political polarization (see HERE and HERE for smart posts on this process by Lisa Wade and Gwen Sharpe). You can see political polarization happening below.

You might think ideological commitments naturally come in groupings. But there are lots of illogical pairings without natural connections. Why, for instance, should how you feel about school vouchers be related to how you feel about global warming, whether police officers use excessive force against Black Americans, or whether displays of military strength are the best method of ensuring peace?  The four issues are completely separate. But, if your Facebook feed looks anything like mine, knowing someone’s opinion about any one of these issues gives you enough information to feel reasonably confident predicting their opinions about the other three. That’s what ideological consistency looks like.

Consider how this process affects understandings of important systems of social inequality that structure American society. Discrimination is an issue that sociologists have studied in great detail. We know that discrimination exists and plays a fundamental role in the reproduction of all manner of social inequalities. But, people have opinions about various forms of discrimination as well—even if they’re unsupported by research or data. And while you might guess that many Americans’ opinions about one form of discrimination will be predictive of their opinions about other forms, there’s not necessarily a logical reason for that to be true. But it is.

The following chart visualizes the proportions of Americans who say there is “a lot of discrimination” against Black people, gay and lesbian people, immigrants, transgender people, as well as the proportions of Americans who oppose laws requiring transgender people to use bathrooms that correspond to their sex at birth. And you can see how Americans identifying as Democrat and Republican compare.

The majority of Americans understand that social inequalities exist and that discrimination against socially marginalized groups is still a serious problem. By that, I mean that more than half of Americans believe these things to be true. And data support their beliefs. But look at the differences between Democrats’ and Republicans’ opinions about important forms of discrimination in U.S. society. The gap is huge. While just less than 1 in 3 Republicans feels that there is a lot of discrimination against Black people in the U.S., almost 8 in 10 Democrats support that statement. That’s what political polarization looks like. And Pew found that the trend is even more exaggerated among voters.

Republicans and Democrats are not just divided about whether and what to do about forms of social inequality. They’re divided about whether these inequalities exist. And that is an enormous problem.

Tristan Bridges, PhD is a professor at the University of California, Santa Barbara. He is the co-editor of Exploring Masculinities: Identity, Inequality, Inequality, and Change with C.J. Pascoe and studies gender and sexual identity and inequality. You can follow him on Twitter here. Tristan also blogs regularly at Inequality by (Interior) Design.

Flashback Friday.

Monica C. sent along images of a pamphlet, from 1920, warning soldiers of the dangers of sexually transmitted infections (STIs). In the lower right hand corner (close up below), the text warns that “most” “prostitutes (whores) and easy women” “are diseased.” In contrast, in the upper left corner, we see imagery of the pure woman that a man’s good behavior is designed to protect (also below).  “For the sake of your family,” it reads, “learn the truth about venereal diseases.”

The contrast, between those women who give men STIs (prostitutes and easy women) and those who receive them from men (wives) is a reproduction of the virgin/whore dichotomy (women come in only two kinds: good, pure, and worthy of respect and bad, dirty, and deserving of abuse).  It also does a great job of making invisible the fact that women with an STI likely got it from a man and women who have an STI, regardless of how they got one, can give it away.  The men’s role in all this, that is, is erased in favor of demonizing “bad” girls.

See also these great examples of the demonization of the “good time Charlotte” during World War II (skull faces and all) and follow this post to a 1917 film urging Canadian soldiers to refrain from sex with prostitutes (no antibiotics back then, you know).

This post was originally shared in August 2010.

Lisa Wade, PhD is a professor at Occidental College. She is the author of American Hookup, a book about college sexual culture, and a textbook about gender. You can follow her on Twitter, Facebook, and Instagram.

Why did people march on January 21, 2017? As a team of sociologists interested in social movements, we know there are many possible answers to this seemingly simple question.

As a team of sociologists we have developed a multi-method, multi-site research project, Mobilizing Millions: Engendering Protest Across the Globe.* We want to understand why people participate in a march of this scale, at a critical historical juncture in our political landscape. Within weeks of discussion of the first march, there were already “sister” march pages national and internationally. While it is beyond the scope of this post to discuss all of the project findings thus far, the predictability of the racial tensions visible in social media or the role of men, local opportunities and challenges we do offer some early findings.

In the project’s first phase, we had team members on the ground in Washington D.C.; Austin, TX; Boston, MA; Los Angeles, CA; New York, NY; Philadelphia, PA;  Portland, OR; Santa Barbara, CA and St. Louis, MO. We are currently conducting a survey about the motivations and experiences that brought millions of people to the marches worldwide. We recruited respondents from marches in the aforementioned cities, and online. This has resulted in responses from around the world. Our preliminary findings from the observations and survey highlight that 1) there were a range of reasons people attended marches and 2) across and within sites, there were varying experiences of “the” march in any location.

One striking similarity we observed across sites was the limited visible presence of social movement organizations (SMOs). For sure, SMOs became visible in social media leading up to the event (particularly for the DC march). Unlike at social movement gatherings such as the US Social Forum or conservative equivalents, the sheer number of unaffiliated people dwarfed any delegations or representatives from SMOs. Of our almost 60-member nation-wide team across sites only a handful had encountered anyone handing out organizational material, as we would see at other protest. This is perhaps what brought many people to the march—an opportunity to be an individual connecting with other individuals. However, this is an empirical question as is what this means for the future of social movement organizing. We hope others join us in answering.

Second, while the energy was palpable at all of the marches so was the confusion. As various media sources reported, attendance at all sites far exceeded projections, sometimes by 10 times. Consequently, the physical presence of the expanded beyond organizers’ expectations, which in many places required a schedule shifted. At all marches there were points where participants in central areas could not move and most people could not hear scheduled speakers even if they were physically close to a stage.  Across the sites, we also observed how this challenge stimulated different responses. In multiple locations, people gathering spontaneously created their own sub-marches out of excitement as happened in DC when a band started playing on Madison street and people followed. Or, while waiting, waiting participants chanted “march, march.” Still, in many locations, once the official march started, people created sub-marches out of necessity because the pre-planned march route was impassable. When faced with standing for an hour to wait their “turn” to walk or create an alternative, they chose the latter.

Creativity was visible in artistic forms as well. While there were professionally printed signs (and T-shirts), there was a wealth of handmade signs at the marches. As expected, a slew that referenced phrases the president-elect had said noting, for example, “this pussy grabs back.” Yet there was also a range of other signs ranging from simple text to complicated storyboards (see below).

Across sites, we also saw many differences: including which types of organizations sponsored (or “supported” or “ were affiliated with”) that march.

At the Austin, Texas march, marchers’ signs and chants reflected a wide variety of concerns, including women’s reproductive health care, Black Lives Matter, and environmental justice. The emotional tenor was frequently celebratory, though it varied from one point in the march to another across a crowd reported to be more than 40,000. Many speeches at the rally immediately following the march connected the actions of the Texas state legislature–on whose front steps the march began and ended–to the broader national context.

Photo of Austin, TX by Anna Chatillon-Reed.

The Los Angeles March numbers suggest it exceeded DC participation. There was a noticeable presence of signs about immigration and in Spanish, which is not surprising considering the local and state demographics.

Photo of Los Angeles by Fátima Suarez.
Photo of Los Angeles by Fátima Suarez

The Philadelphia, PA march was close to bigger cities of in New York and DC. Some participants noted that due to the location it was  “competing” for marchers.

Philadelphia photo by Alex Kulick.
Philadelphia photo by Alex Kulick.

The Portland, OR protest also exceeded attendance expectations as marchers withstood hours of pouring rain. Holding the “sister” marches on the same day worldwide emphasized the magnitude and assists in building collective identity. Yet it also meant organizers in different locations faced vastly different challenges. Factors such as weather that might not have existed if organizers had been scheduling based solely on local norms and contexts.

Portland photo by Kelsy Kretschmer.
Portland photo by Kelsy Kretschmer.

To help provide a preliminary sense of the motivations and continued engagement of marchers, we examined a sample of the ~40,000 tweets posted over two months. The analysis continues.

In the coming month, we are launching a separate survey to better understand a group social movement scholars are sometimes less inclined to study: people who do not participate in marches on January 21 (there are exceptions to this of course). As social movement scholars know, mobilization is actually a rare occurrence when we consider the range of grievances present in any society at any given moment. For a second phase of the project, we will conduct interviews with select survey participants.

Understanding the range of responses to grievances is critical as we move into this new era. If the first month of Trump’s presidency is any indication of the years to come, scholars and activists across the political spectrum will have many opportunities to engage these questions.

____________________

*The team Faculty collaborators are Zakiya Luna, PhD (Principal Investigator, California, DC, LA,PH and TX coordinator); Kristen Barber, PhD (St. Louis Lead); Selina Gallo-Cruz, PhD (Boston Lead); Kelsy Kretschmer, PhD (Portland Lead). The site leadership was provided by Anna Chatillon (Austin, TX); Fátima Suarez (Los Angeles, CA); Alex Kulick (Philadelphia, PA & social media); Chandra Russo, PhD (DC co-lead). We are also grateful to many volunteer research assistants.

Dr. Zakiya Luna is an Assistant Professor of Sociology at University of California, Santa Barbara. Her research focused on social movements, human rights and reproduction with an emphasis on the effects of intersecting inequalities within and across these sites. She has published multiple articles on activism, feminism and reproductive justice. For more information on her research and teaching, see http://www.zakiyaluna.com.

Alex Kulick, MA, is a doctoral student in sociology at the University of California, Santa Barbara and trainee in the National Science Foundation network science IGERT program. Their research investigates social processes of inequality and resistance with an emphasis on sexuality, gender, and race.

Anna Chatillon-Reed is a doctoral student in sociology at the University of California, Santa Barbara. She is currently completing her MA, which investigates the relationship between the Black Lives Matter movement and feminist organizations.

Protestors march in the Woman’s March on Washington D.C. Jan. 21, 2017. The Capital Mall area was the starting point of the march, hundreds of thousands of people attended. (National Guard photo by Tech. Sgt. Daniel Gagnon, JTF-DC).

Waves of pink knitted hats and protest signs packed the streets of D.C. on January 21, 2017, just one day after President Trump’s inauguration drew average crowds. The Women’s March of 2017 was the largest protest in recent history, bringing together over 500,000 people in DC- the location of the flagship march, and over 2.9 million people nationwide. Protesters came from near and far to protect a diverse set of rights that are threatened by the incoming administration. Perhaps the Women’s March can be understood as a partial response to President Obama’s declaration in his farewell address that the most important office in a democracy is “citizen,” and, thus, citizens must work to improve our society, not just when there is an election or when their own narrow interests are at stake. The march was an example of what this kind of democracy looks like. Originally proposed on social media, the idea for the march took off and a groundswell of support emerged from independent individuals and those associated with organizations.  Despite this level of support, many have speculated about who attended the march, whether they voted, the goals of protesters and their level of civic engagement. Some have discounted the protesters as only forwarding the perspectives and issues of white women and eschewing those of other groups such as people of color and/or members of the LGBTQ community.

Combatting this new era of “alternative facts,” a research team led by Dr. Dana R. Fisher, Dr. Dawn M. Dow and Dr. Rashawn Ray from the University of Maryland, College Park provides data-supported facts about participants at the Women’s March. Teams of 2 surveyed participants throughout the march (full details of sampling and methodology available upon request) to understand who was protesting and why. In total, 527 people completed the survey (representing a 92.5% response rate).

Far from using protesting as a substitute for voting, as a recent tweet from Trump suggested, initial findings from this project show that the protesters at the Women’s March voted, and overwhelmingly for Secretary Hillary Clinton. Among respondents, 90.1% reporting voting for Hilary Clinton, 2.3% voted for a third-party candidate and .2% (one person) voted for Donald Trump. Among the 1.7% who explicitly said they did not vote, nearly half were non-U.S. citizens who are not eligible to do so.

Our findings also suggest that the Women’s March has potentially lit the political fires of a new generation of activists and reactivated the political activism of others. Indeed, a third of the participants reported that the Women’s March was their first time participating in a protest ever. For over half of the participants (55.9%), the March was their first protest in 5 years (including those who had never participated before).

Respondents were also asked to identify the issues that motivated them to protest.  Our data suggest protesters were unified by a range of distinct and overlapping priorities. Given the name of the march, it is not surprising that 60.6% of respondents cited women’s rights as a motivation for protesting.  However, other social issues were also at the forefront of protesters’ minds. Nearly tied for second place, protesters cited the environment (35.5%), racial justice (35.1%), LGBTQ rights (34.7%), and reproductive rights (32.7%) as motivations to attend. Other political issues were also well represented including equality (25.1%), social welfare (23.1%) and immigration (21.6%).  Indeed, rather than representing a narrow set of interests, protesters identified multiple and diverse motivations for participating.

Historically protests focus on one social issue such as equal pay, climate change, voting rights or same sex marriage. The Women’s March was different in that its protesters were seemingly engaged in intersectional activism–a version of activism that is sensitive to how race, class, gender and sexuality complicate inequality. Perhaps the Women’s March is distinct in this way because protesters were not just motivated by concrete issues, but they were also motivated by a desire to protect and reassert a vision of America that embraces diversity and inclusion as a strength rather than a threat. This vision of America is increasingly under attack by the Trump Administration. It remains to be seen how the energy from the march will translate into change locally across the country but recent protests suggest that citizens stand ready to protect their rights and the rights of others.

Dr. Dawn M. Dow is an Assistant Professor of Sociology at the University of Maryland, College Park.  She received a PhD in sociology from the University of California, Berkeley and also earned a JD from Columbia University, School of Law.  Dow’s research examines intersections of race, class and gender within the context of the family, educational settings, the workplace and the law. Her work has been published in journals including Gender & Society, Journal of Marriage and Family and Sociology of Race & Ethnicity.  Follow her on Twitter here.

Dr. Dana R. Fisher is a Professor of Sociology and the Director of the Program for Society and the Environment at the University of Maryland. Her research focuses on environmental policy, civic participation and activism more broadly. She has written extensively on activism and social protest in articles as well as in her second book Activism, Inc. (Stanford University Press 2006).  Fisher’s work on protest builds on data collected from around 5,000 protesters at thirteen protest events in six countries. For more information, go to www.drfisher.umd.edu.  Follow her on Twitter here.

Dr. Rashawn Ray is an Associate Professor of Sociology at the University of Maryland, College Park. Ray obtained a Ph.D. in Sociology from Indiana University in 2010. From 2010-2012 he was a Robert Wood Johnson Foundation Health Policy Research Scholar at the University of California, Berkeley/UCSF. Ray’s research addresses the mechanisms that manufacture and maintain racial and social inequality. His work also speaks to ways that inequality may be attenuated through racial uplift activism and social policy. Follow him on Twitter here.