The Semiotics Of Dress: Republican Targets "Illegals" By Their Clothes
LatestIn his 1974-1975 lectures at the College de France collected in the volume Abnormal, Michel Foucault discusses the creation of new technologies in modern “criminal justice” that categorize individuals who “resemble their crime before they commit it.”
He’s specifically inquiring into the emergence of criminal psychiatry, but as we know so well, sartorial-racial profiling has become another such “rational” method of categorization (based on interpretations of signs as “symptoms”) and criminalization. (See sagging pants on young black men, turbans on “Muslim-looking” men — even if they are Sikhs — and some forms of hijab on Muslim women in Canada and France, for the most relevant contemporary examples.) Now, in the midst of a hostile anti-immigrant movement, Representative Bill Bilbray (R-Calif) claims that “trained professionals,” presumably experts in scientific methods of observation and evaluation, will be able to identify “illegals” by their clothes. As the Huffington Post reports:
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
- 
        
        
            
 
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
         
        