race/ethnicity

One of our readers sent in an example of our cultural tendency to conflate “ethnic” with “non-white,” a conflation that renders whiteness invisible in discussions of race/ethnicity and its social impacts. You Beauty posted a slideshow about choosing an appropriate sunscreen, and the first slide highlights two that are “best for ethnic skin.” The accompanying text refers to “deeper skin tones” and includes a link to a story on “dark skin decoded”:

It’s a small example of the way that race and ethnicity are perceived more broadly in our culture, with whiteness taken as the neutral, as the absence of noticeable race/ethnicity, while “ethnic” is the marked, non-neutral state of all those who aren’t white.

Identifying as Republican is strongly associated with religiosity in the U.S., so much so that people often use the term “Republican” and “Religious Right” interchangeably. Indeed, religious people are more likely to be politically conservative overall, but a Gallup poll shows that this relationship is moderated by race.  The figure below cross-tabulates religiosity for four racial/ethnic groups with the likelihood of affiliating with the Democratic or Republican party or neither.  You can see that the typical relationship — religion/Republican and no religion/Democrat — holds for all groups, except for African Americans.

At Gallup, Frank Newport writes:

Asian and Hispanic Americans, regardless of religiousness, are more likely to identify as Democrats than Republicans. But the Democratic advantage goes from 14 points among very religious Asians to 44 points among nonreligious Asians. The differences are less substantial among Hispanics; very religious Hispanics are more likely to identify themselves as a Democrats than Republicans by 20 points, while nonreligious Hispanics are more likely to identify themselves as Democrats by a larger 36-point margin.

Personal religiousness makes little difference among blacks, however, as the powerful partisan pull of Democratic identification among black Americans trumps any influence of religion.

The report is a great example of the importance of doing intersectional analyses.  When you pull groups apart (by, say, adding race when looking at the relationship between religion and politics), you often find that a more generalized examination is hiding interesting details.

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

Last week Gwenyth Paltrow tweeteda photograph of Kanye West and Jay-Z performing in France along with the text: “Ni**as in paris for real.”  The tweet started a conversation about her right to use the n-word, even with asterisks. Paltrow defended herself, claiming that it is the name of the song they were performing (which it is).

At Colorlines, Jay Smooth offers a characteristically entertaining and insightful analysis of the incident.  What’s interesting, he observes, isn’t so much her use of the word, but her defensiveness about it.  Here’s how he puts it:

No matter how justified you feel, as soon as you start arguing about your right to use the n–, that is a sign that you have become too attached to the n–.

He calls on her to apologize and move on with her life because…

The right to use that word is not a right worth fighting for.

A great watch:

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

The Economic Policy Institute recently released a report looking at the impacts of the recession and its aftermath on the Asian American population. Due to the model minority stereotype, Asian Americans are often overlooked in discussions of the economic crisis or of poverty and inequality more broadly.  It is true that Asian Americans have generally had lower unemployment rates than other racial/ethnic groups, due to their overall higher educational levels. However, if we look within educational levels beyond a high school diploma, Asian Americans have higher unemployment rates than comparable Whites, with the gap widest for those with bachelor’s degrees:

The economic difficulties faced by some Asian Americans is even more noticeable when we look at long-term unemployment (joblessness that lasts 27+ weeks, or more than about half a year). The proportion of the unemployed that fall into this category has risen for every group since 2007, with African-Americans and Asian-Americans more likely than Whites or Hispanics to be unemployed for long periods:

EPI then released an update to the report, incorporating 2011 data. Long-term unemployment has inched upward for every group; half of unemployed African- and Asian-Americans have now been out of work for at least 27 weeks:

And in fact, despite their higher overall levels of education, Asian Americans now have a higher unemployment rate than Whites (though the rate for both groups is down from the peak in 2010):

For a discussion of factors that may contribute to these patterns among Asian Americans, such as their concentration in states particularly hard-hit by the recession and the proportion of the population that is foreign-born, see the full report.

I recently posted a series of examples of the words “nude,” “skin-toned,” and “flesh-colored” being used to describe light-tan. In other words, a linguistic erasure of people who don’t have light skin.

In response, Kristen S. and Jessica J. sent in pictures of Urban Armor bandaids.  As you can see, they come in three colors and all of them are called “skin-tone.”  Awesome.

We’ve collected other counter-examples, as well.

Andrea C. noted in 2010 that Elle did a segment on “Nude Nails” and highlighted OPI polish, mentioning the fact that they had “actual nude options for every skin tone”:

Here are the colors that OPI calls “nude” today:

Breck C. found a website, My Skins, specializing in skin-matching underwear for a range of skin tones:

Eve F. discovered that Aldo included shoes of some different possible flesh-tones in it’s “nude” section (at least in 2010; the section doesn’t look like this today):

So, we can hope that consciousness is being raised, even if this can still happen.

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

Cross-posted at Montclair SocioBlog.

In recent Democratic primaries in Appalachian states, Obama lost 40% of the vote.  The anti-Obama Democrats voted for candidates like “uncommitted” (Kentucky), an unknown lawyer (Arkansas), and a man who is incarcerated in Texas (West Virginia).

Could it be that there’s racism at work in Appalachia?  Or is the anti-Obama vote based entirely on opposition to his policies?

The 2008 Presidential election — Obama v. McCain — offers some hints.  For those with short memories, the Bush legacy — an unpopular war and an economic catastrophe — may have hurt the GOP.  In that election, the country went Democratic.  The Democrats did better than they had in 2004, the Republicans worse.  But not everywhere.  The Times provides this map:

Still, it’s possible that those voters in Appalachia preferred the policies of candidate Kerry to those of candidate Obama.  As Chris Cilizza says in in a Washington Post blog (here), the idea that race had anything to do with this shift is…

…almost entirely unprovable because it relies on assuming knowledge about voter motivations that — without being a mindreader — no one can know.

Cilizza quotes Cornell Belcher, the head of a polling firm with the Monkish name Brilliant Corners:

One man’s racial differences is another man’s cultural differences.

Right.  The folks in Appalachia preferred John Kerry’s culture.

I’m generally cautious about attributing mental characteristics to people based on a single bit of behavior.  But David Weigel, in Slate, goes back to the 2008 Democratic primaries – Obama versus Hillary Clinton.  A CNN exit poll asked voters if race was an important factor in their vote. In West Virginia and Kentucky, about 20% of the voters in the Democratic primary said yes.  Were those admittedly race-conscious voters more anti-Obama than other Democrats?

As Weigel points out, this was before Obama took office, before voters really knew what policies he would propose.  Besides, there wasn’t all that much difference in his policies and those of Hillary Clinton.

Cilizza is right that we can’t read voters’ minds.  But to argue that there was no racial motivation, you have to discount what the voters said and what they did.

James Mollison, the photographer who brought us Where Children Sleep, has a fantastic series called The Disciples in which he captures die-hard music fans (he calls them “tribes”).  The results are a great example of the power of sub-culture.

 

Mollison photographed fans of Madonna, Iron Maiden, Kiss, Dolly Parton, 50 Cent, The Casualties, and many more. You should go check out them all..

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

Last week, the Census Bureau announced that as of July 1, 2011, for the first time the majority (50.4%) of babies under age 1 in the U.S. were not non-Hispanic Whites. Animal New York posted a video by Jay Smooth discussing the reactions to and implications of this news:

You can see the NYT article Jay Smooth parodies here, but note that the graph is mislabeled. The line labeled “White” actually only represents the data for non-Hispanic Whites, while the line labeled “Non-White” includes births to White Hispanics, so the terminology they used doesn’t accurately reflect what the graph illustrates.