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ISSN: 2347-7474 International Journal Advances in Social Science and Humanities Available online at: www.ijassh.com RESEARCH ARTICLE Visualizing Self-segregation among African American and Hispanic Students in Los Angeles, California, USA Brett Wyatt* Chiang Mai University, Thailand. *Corresponding Author: E-mail: [email protected] Abstract This analysis asks if the size of friendship-based ego networks can be used to identify a propensity to self-segregate. This infers that self-segregation is dependent on an individual’s ability to establish friendships, which in part reflects an individual’s social skills, such as the ability to negotiate the alternative world views of other ethnic groups and thereby minimize misunderstandings. The results show that students who are unable to negotiate alternative world views, as determined by the size of their friendship ego network, are highly likely to selfsegregate. Introduction It is well known that the problem of segregation among students persists despite efforts to integrate schools and classrooms. Simply placing students of different ethnicities together in an educational environment does not guarantee that students will co-mingle and develop inter-ethnic friendships. Although many studies use race as a way to identify different student groupings, this analysis used ethnicity because of the implied, discursive attributes which come by using a cultural signifier. Through both casual observation and discussions with teachers it was clear that many of the students at this school demonstrated self-segregation. Segregated social cliques created friction in the school and caused disruptions in the classroom, especially during group activities. The problem was that there seemed to be no clear reason for self-segregation. Why did some students stay tightly linked into peer groups of their own ethnicity? The analysis asks if the size of friendship-based ego networks can be used to identify a propensity to selfsegregate. To answer this question a method was developed using social network theory to examine student friendship networks and analyze the linkages based on ethnicity. This research was conducted using data acquired from 12th grade students during the academic year 2011-2012 at a charter high school in the South Central region of Los Angeles, California. The study group came from high school seniors at Locke High School, one of the most troubled Brett Wyatt | October 2015 | Vol.3 | Issue 10 |01-08 schools in Southern California. Locke High School had been re-organized many times under the Los Angeles Unified School District ad then turned over the Green Dot Charter School District, which further re-organized and regrouped the school into small-sized academies in an attempt to make the school environment more manageable in size and to promote school spirit and comradely. Even with the best of modern management techniques, self-segregation persisted. What could be undermining the best efforts of dedicated teachers and inspired management? The underlying conceptual framework used in this analysis to define friendship networks was constructed using terminology from actor-network theory. Friendship networks were conceptualized as “ways of being in the world”, and the discourse underlying friendship networks is assumed to “carry social identity” by constituting "specific actions, (performances), carried out by specific individuals, performances which are amalgams of words, values, thoughts, attitudes, gestures, and props” [1]. Within the same conceptualization, student ethnicity was defined as a form of social identity. Discourse, as well as practice, creates ethnic identity [2]. Ethnicity is complex, performed, and generally not chosen by an individual, unless the person is from a mixed heritage. In this research, less than 1% of the students declared multiple racial identify. It follows that self-segregation is a form of discursive practice. Students' identity within an 1 Available online at: www.ijassh.com ethnic group comes from a mental model created "as instantiations of shared social, representation" based on familial, societal, and community messages and reinforcements [3]. Literature Review In a world without segregation we can expect students in a multi-ethnic setting to have friendship networks mirroring the ethnic composition of the school [4]. In fact, some researchers suggest that students will develop “borderland discourses”, peer-based amalgams of ways of being that allow for a blending of social identities [1,3]. Students form discourse coalitions [5] through the lending and re-interpreting of their storylines and perceptions. It’s a blending of individual discourses through friendships which creates inter-ethnic links. Discourse is conceptualized by the way imagined realities emerge as actions made manifest within the extent of our praxis, and as a way of constituting the present by creating an imaginary future of consensual events traced though the construction of mutual, discursive interactions resulting in structures of feeling, leading to friendships [6-8]. Students unable to negotiate alternative ideologies, meanings, assumptions and world views of others will not be able to establish links with students of other ethnicities and will segregated ego-networks. Self-segregation, also known as ethnic homophily [10, 11] can be described as a clustering of actors limited to a single ethnic group within an ethnically diverse community. Self-segregation is defined as a preference that people exhibit when choosing friends who are like themselves along multiple dimensions [12-15]. Within social network theories, self-segregation exists as networks exhibiting community structures that are naturally partitioned into two or more groups of nodes with a preponderance of within-group linkages, but relatively few linkages across groups in self-organizing networks [16]. Previous research concerning self-segregation overwhelmingly focused on self-segregation between White (Caucasian) groups and non-white minorities. Friendships are normally complex relationships, differing greatly between persons. They are highly contextualized but generally are based on some kind of benefit by one friend or the other. They do not have to be reciprocal [10, 17]. For this analysis, a friendship need not be reciprocal (both actors acknowledging the friendship), a link between students was defined as a friendship if one student accepted another student as a friend, whether or not that friendship was returned. The student doing the accepting established the condition to not self-segregate. The procedure to determine this relationship will be discussed in detail in the methods section. Unfortunately, friendship networks may be contravened by external pressures which bias the mutual negotiation borderland discourse. School settings are controlled by numerous external power structures. In a school setting, student networks have been described as “networks-in-abox” [18]. The over-arching power structures include the administrative directives of the school district, local policies, classroom policies, and the storylines and perceptions of the community, and in this case, the underlying perceptions of ethnic biases and racism within the community. Racism is defined as "a complex system of social inequality characterized by ideological social representations, individualized mental models, discriminatory discourse, institutional structures, and unequal power relations [19]. This definition delineates power relations between whites and non-whites, but in this situation, it will be used to describe the situation between two non-white minorities. Most studies of racism in schools focus on the separation of whites and other minorities. A useful perspective for this analysis was gained from examining "whiteness studies” which concern themselves with "what it means to be 'white' in America, and whether or not 'whiteness' is a unique identity." The framing of whiteness as an ethnic identity further supports the proposition that ethnicity is a social construct. The use of a phonetically based characteristic such as “race” negates a student’s personal view of social identity. It may be that in educational studies which examined social network ties between African-American and White students historical factors made race and ethnicity indistinguishable, but within communities such as Watts, in Southern California, both surname of physical appearance do not always match the ethnicity (as the category listed on enrolment form) to the box checked from ethnic identification. However, regardless of how ethnicity is determined or the ethnic composition of the student body, self-segregation is not a phenomenon unique to white and non-white students, but appears to be a social construct expressed by all ethnic groups [20]. The hierarchical structure of the school further imposes "meanings that maintain and reinforce 2 Brett Wyatt | October 2015 | Vol.3 | Issue 10 |01-08 Available online at: www.ijassh.com the reigning social, economic, and political arrangements as legitimate when in fact they are entirely arbitrary” [21]. While social identity is part imposed form the top, students also create their own social identity. “Individuals and groups of individuals serve as definers of reality” [22]. Inside "the box" students enact self-classification and classification by others [23] Student’s interpersonal friendships are pressured within was one researcher called a "battleground where this conformity is disputed and eventually materializes amongst agents, thus creating social differences and unequal structures” [24], creating constraints on individual perception and action, [25], weakening the ability to negotiate borderland discourse. This line of research demonstrates that race relations become institutionalized and validate self-segregation [22, 26, 27]. Other research points to self-segregation as a “maladaptive response” by the minority to the perspectives and impositions on the part of the dominant group, though these studies do not account for self-segregation within "non-white" groupings. Another body of research using conflict theory quantifies prejudice, and the resulting self-segregation, as a "competition and struggle over real or symbolic resources and privileges" over limited student resources [28]. One particularly compelling theory of selfsegregation comes from the study of microaggressions or micro-inequities. These are: "The comments, the work assignments, the tone of voice, the failure of acknowledgement in meetings or social gatherings. These are not actionable violations of law or policies, but they are clear, subtle indicators of lack of respect by virtue of membership in a group and often associated within non-white minorities" [29]. This theory helps to understand the complexity of self-segregation, especially in a school environment. Students may self-segregate through a very personal, emotional level. Selfsegregation may be the result of a displacement of anger rooted in personal achievement, economic condition, or self-esteem. Racism, and consequent self-segregation, may be the result of a too simplistic understanding of human relationships and the inability to resolve interpersonal conflicts, or be empathetic to others with different outlooks on life. esteem, and empathetic qualities necessary to maintain friendships, then self-segregation may be dependent on the opportunity and ability to make friends. In this case, students may choose friends outside their ethnic group if they are in a small minority. "If students wish to avoid having no friends at all, then minority students may appear to be willing to integrate more with the majority in a more homogeneous school, even if the preference for having same ethnicity friends has the same strength in all schools... they also have a baseline preference for having any sort of friend rather than no friend at all." [30] Another approach to this idea underscores the "opportunity effect" and is described as follows: “in a school where there are many minority students, minority students may be able to find their desired number of friends within the minority friendship pool.” [4]. This study advances this idea further by explaining that selfsegregation, as a choice, may be the result of either the inability of a student to maintain an average number of friends or by a lack of skills to maintain friendships outside a student’s ethnic discursive reality. Moody's research implies that institutionalized social structure sets the environment for selfsegregation. He states that "individuals choose friends but do so within the opportunities and constraints provided by the school context" [4]. Furthermore, “classes of persons are segregated to the degree that their social relations are restricted to members of their own class and do not ‘cross over’ to members of the other classes” [31]. The problem of self-segregation may not limited only to ethnicity, but to other attributes of social segregation, such as income, education, religion, and other social construction which may inhibit social interaction and further separate people into different classes. However for this analysis, all students, except those lacking legal documentation to live in the United States, all were categorized in the same socio-economic level. In summary, there are many perspectives on how racism and self-segregation are defined. Also, school environments are constructed by institutions that may impose a social framework reinforcing racial differences. This study agrees with the concept of micro-aggressions and inequities as causation for self-segregation, and that self-segregation is an outcome of a student’s ability to negotiate the world-view within the social construct maintained by the educational institution. If self-segregation can be explained as an individual's choice based on social skills, self3 Brett Wyatt | October 2015 | Vol.3 | Issue 10 |01-08 Available online at: www.ijassh.com Methods The participants in this study were 215 high school seniors between the ages of 17 and 19 at a charter school located in South Central, Los Angeles. The school was physically separated into four academies. This analysis collected data from “Academy B”. According to the charter website, “Academy B” is 100% African-American or Latino and 98% qualified for free lunch, the charter district does not provide further differentiation for minority students on the public website [32]. Another online source using statistics gathered from the California State Department of Education stated that “Academy B” consisted of 66% Hispanic and 33% African-American students, with less than 1% claiming mixed race and less than 1% of students identifying as “White” [33]. Also, the Hispanic student population has a diverse national origin. Informal interviews with students revealed that the majority of students originated from Mexico, and the remaining students have national identity with El Salvador, Honduras, and Guatemala, in that order. From 2010 to 2013, the API score of Academy B dropped from 605 to 564, putting it in the bottom 10% in California. Other demographic indicators to help frame the educational environment of Academy B include: GATE students: 0% English learners: 26% Reclassified as English proficient: 29% Eligible for free/reduced price lunch: 94% Special education within the past two years: 15% Parents without diploma: 47% An initial analysis of ego-networks did not any differentiation of ego networks based on special education status which did not show any variation in number of friends or likelihood to selfsegregate. The issue of legal status was not due to issue regarding privacy. It is interesting to note that students were on block schedules, spending two hours in every classroom on alternating days. Student free time was limited to a 20 minute break, from bell to bell, and a forty minute lunch, from bell to bell. Also, group activities were encouraged by the administration and practiced by all teachers. Overall, classrooms were ethically balanced as per school enrolment to number of Hispanics and African Americans, as well as by males to females. There were 248 students within the 12th grace of Academy B, but only 141 Hispanic students, 72 African American students, and 2 White students, for a total of 215 students correctly completed the questionnaire. Of the two White students, one transferred out of the school during the survey period. The remaining White student was eliminated from the study because he represented a statistical anomaly. Referring back to Moody, we would expect the ethnic composition of friendship networks to be proportional to the ethnic proportions of the school. Therefore, in a school free of self-segregation, both African American and Hispanic students would have 66% of their friends as Hispanics and 34% of their friends as African American. The questionnaire used for this research was designed by first identifying language that students would clearly understand. Small groups of students were asked how they would ask the question, “Who are your closest friends at school?” Most students responded that such as formal question made them feel uneasy, that they felt there would be a negative consequence to answering the question. Within the lexicon of this school, it was decided that the best way to ask the question was “Who do you like to hang with?” This is a variation of “hanging-out” which connotes familiarity without a strong commitment to the future or the past. A trial questionnaire was given to one classroom of 32 students. Students were asked to put a check mark by only those students who “you like to hang with.” Although students had no trouble understanding the question, and in fact enjoyed completing the survey, most students would not discriminate between students who they considered to be their friends and students who were connected to their social group, though not directly connected as a friend. Another problem occurred when students knew each other in class, or students whose friends questioned why they excluded someone. The data provided by this instrument was highly flawed because most students included all students within their social sphere, so as not to make someone feel unimportant. The problem over over-identifying was brought to the informal group and it was decided that students should be given two choices for selecting friendship relations. The first choice was to mark the box with a 1 for students whom “you like to hang out with a lot (often)” and a second choice of marking the box with a 2 for students whom “you like to hang out with sometimes.” This revised survey was given to the entire 12th grade of Academy B. Students felt at ease checking off as many students as they wanted to with a 2, saving the mark of a 1 for those whom they felt most close to, this being a strong friendship. 4 Brett Wyatt | October 2015 | Vol.3 | Issue 10 |01-08 Available online at: www.ijassh.com As a result of the questionnaire, relationship is produced simply by the declaration of interest in spending time with another student, regardless of directionality. The questionnaire allowed students to express interest as one of two values simply stated as a lot and sometimes. These two values were chosen to eliminate over selection due to peer pressure seen in the sample survey. Adding a weaker option allowed students to save face with others by acknowledging “friends of friends” without having to express a strong commitment. These weak relationships gave more credibility to the identification of strong relationships and were not used in the analysis to create students’ ego networks. An ego network is defined as all direct linkages between a student and all friends with a value of one. Students were determined to be selfsegregated if their ego networks were homogeneous with respect to ethnicity. The same ego networks were also used to determine students’ ability to negotiate the “world views” of other students by determining tie-density, the ratio of the number of connections between particular groups of actors to the total number of possible ties [34]. The ego networks of students with few friends have a low tie density while students with many friends have a high tie- density. For example, in this study there were 1297 interconnecting ties between all 213 respondents, resulting in a tie-density of 6.09. This value was assigned as the average number of friends in an ego network for this analysis. Tie density was also used to observe variation in ethnicity. The hypothesis was challenged using a standard statistical parameter, namely the Student’s t-test. If normal segregation can be explained by Moody’s assertion that the ethnic composition of students’ friendship networks will approximate the ethnic composition of the school, a strong deviation from that distribution would show intentional selfsegregation. The data was entered into a UCINET-VNA format, a standard format for entering data into visualization software. Ego networks were rendered using the social networking software; Netdraw [34, 35] further analysis of simple statistics was facilitated using Microsoft Excel. Results The survey group consisted of 213 respondents, of whom there were 141 (66%) Hispanic students and 72 (34%) were African-American students. Figure 1: All African American (Left, Green) and Hispanic (Right, Brown) Student Ties, displayed to show self-segregation Note: The size of the blocks denotes the size of each ego network. The data revealed a total of 1297 interconnecting ties with a tie-density of 6.09, representing the average tie-density (number of friendships) for this study. As shown by Figure 1, it is clear that there are distinctive clusters of both selfsegregated and integrated students within both ethnicities. If this was not the case, and the student population was fully integrated, there would not be the segregated clusters as seen at the top of figure 1. It is clear that self-segregation exits within this student body. In fact, forty percent of the student population self-segregates. Though the figure does suggest indirect relationships seen passing through students with inter-ethnic ties, this research focused only on first level friendships. Clearly this visualization 5 Brett Wyatt | October 2015 | Vol.3 | Issue 10 |01-08 Available online at: www.ijassh.com speaks to the need to find solutions to selfsegregation. There were 796 Hispanic-to-Hispanic ties (approximately 61% of all social ties) with a tiedensity of 5.64. There were 327 African-American to African-American ties with a tie-density of 4.54. In this analysis, Hispanic to Hispanic ego networks have one more friendship relationship when compared to the ego networks African Americans to African Americans. Sixty percent of students (128) belonged to integrated friendship networks. Twenty-five out of 72 African-American students, (34%), were selfsegregated, of which 13 students had ties to other self-segregated, African-American students. Sixty of the 151 Hispanic students, (42%) were selfsegregated students, of which 30 students had ties only to other Hispanic students. This analysis shows that there were 43 students, (20%) who completely self-segregate from other minority students at the first and second level. These are students whose friends also do not befriend students of other ethnicities. Further analysis of the student group was conducted by determining the size of each student’s ego network was measured by the number of ties, which ranged from 14 to 1 (no friends). The average tie density for all students was 6.09. The ego-networks of self-segregated, African American students had a tie density of 3.89, smaller than the tie density for the ego network of all African-American students. The ego-networks of self-segregated, Hispanic students were 4.74, also smaller than the ego-network of all Hispanic students. The ego-network of integrated students with other integrated students had a tie density of 5.85. However, the ego networks of integrated students with all other students had a tie-density of 10.02. This evidence further strengthened the hypothesis that a student’s ability to negotiate friendships is an indicator of the likelihood to not self-segregate. Although much can be visually inferred by social mapping, a more rigorous test was needed to determine that the data clearly demonstrated self-segregation, not just an anomalous distribution of friendships. To do so, the data was re-aggregated into two basic sets, students with inter-ethnic relations and those without. The data was set-up in Microsoft Excel and then transferred into a Student’s t-test calculator for comparing distributions. The hypothesis to be tested was “is there is a significant difference between the numbers of ties of self-segregated, student ego networks compared to the number of ties of integrated student ego networks?” To elaborate, the analysis asks if the size of friendship-based ego networks can be used to identify a propensity to self-segregate. This infers that self-segregation is dependant on an individual’s ability to establish friendships, which in part reflects an individual’s social skills, such as the ability to negotiate alternative world views of other ethnic groups. This measurement was achieved by comparing the size of the ego networks of each student within the categories of ethnicity, students who self-segregate, and those who have integrated friendships. First, a t-test was conducted to compare the distribution of the overall number of ties between Hispanic students and for all students in the study group. The results gave a t-value of 0.6444 with a df value of 352 and standard error of difference = 0.386. By conventional criteria, this difference is considered to not be statistically significant. Overall, the distribution of the size of ego networks for Hispanic students did not differ from the study group as a whole. The same analysis was done for African-American students compared to all students. The results gave a t-value of 0.9828, with a df = 283 and a standard error of difference = 0.495. Again, there was no significant difference. Next, the distribution of the size of the ego networks of all African-American students and all Hispanic students was also compared. The results gave a t-value of 1.42 and a df value of 211, there was no significant difference in the distribution of the size of the ego networks between African Americans and Hispanic student. The results of all three tests showed that the distribution in the size of ego networks is not significantly different based on ethnicity. Having eliminated ethnicity as a factor determining the size of ego networks, the data was organized to compare the distribution of the size of ego networks of all students who selfsegregate compared to those who have at least one node of different ethnicity. A t-test was performed on this data resulting in a t-value of 6.1973, with a df value of 208 and a standard error of difference of 0.455. This t-test revealed that the two data sets were significantly different to the .0001 level. By conventional criteria, this 6 Brett Wyatt | October 2015 | Vol.3 | Issue 10 |01-08 Available online at: www.ijassh.com difference is considered statistically significant. to be extremely As shown earlier, the ego networks of students who self-segregate are smaller than those who have integrated ego-networks. The t-test provides further evidence that the difference in distribution of size shows very strong statistical variation, supporting the hypothesis that students who can’t negotiate alternative world views of other ethnicities will have smaller ego networks. Clearly, the inability to establish friendships appears to have a strong influence on a student’s decision to self-segregate. Discussion This analysis concludes that students who selfsegregate have significantly smaller friendshipbased, ego networks than students who have inter-ethnic friendships. The analysis also determined that there was no significant difference in the size of friendship-based, ego networks for Hispanics or African American students. This analysis looks to the concept of negotiating world views and thereby minimizing microaggressions as a key reason for the difficulty of self-segregated students in establishing friendships. This assumption is based on the fact that ethnicity alone was the main criteria for distinguishing self-segregated students. Taken as a whole, there was not significance in the difference in size of friendship networks based on ethnicity. Other indicators, such as gender and special education status were also looked at and found to be insignificant. What was particularly compelling about the results is that students who self-segregate have difficult in establishing friendship ego-networks in general, and appear to be able to establish friendships along paths of least resistance, resulting in self-segregation, and with other students who also have difficulty in establishing friendships. The scope of this analysis did not examine the complex social behaviors required to establish friendships. Other factors, such as if students were “loners”, or had specific family problems at home, were not evaluated. However, the results of this analysis call for more detailed research to isolate the causes behind the inability for some students to establish more friendships than others, which appears to be a key determinate in self-segregation. References 1. Gee James Paul (2005) Social Linguistics and Literacies. London: Routledge, p.127-168. 12. Hallinan MT, Williams RA (1989) “Interracial friendship choices in secondary schools.” American Sociological Review, 54:67-78. 2. Fairclough Norman (1990) Language and Power. London: Longman Press, p.38. 13. Kandel DB (1978) “Homophily, selection, and socialization in adolescent friendships.” American Journal of Sociology, 84:42736. 3. Van Dijk, Teun A (2000) Ideologies, Racism, Discourse: Debates on Immigration and Ethnic Issues. In Comparative Perspectivas on Racism, Ter Wal, Jessika and Verkuyten, Maykel (Eds.), p, 91-116, Aldershot, Ashgate Pub Ltd, p.90-95. 14. McPherson JM, Smith-Lovin L (1987) “Homophily in Voluntary Organizations: Status Distance and the Composition of Face to Face Groups.” American Sociological Review, 52:370-79. 4. Moody James (2001) “Race, school integration, and friendship segregation in America.” American Journal of Sociology, 107(3):532-716. 15. Tuma NB, Hallinan MT (1979) “The effects of sex, race, and achievement on school children’s friendships.” Social Force, 571(4):1265-85. 5. Hajer Maarten (1993) Discourse Coalitions and the Institutionalization of Practice: The Case of Acid Rain in Great Britain. In Fischer, Frank/Forester, John (Hrsg.): The Argumentative Turn in Policy Analysis and Planning. Durham/London. S. 43-67. 16. Henry Adam, Douglas D, Mitsche, P. Pralat (1991) Homophily, contagion and the decay of community structure in selforganizing networks. An unpublished paper at http://www.math.ryerson.ca/~pralat/research.html. 6. Pilario DF (2005) Back to the Rough Grounds of Praxis: Exploring Theological Method with Pierre Bourdieu. Leuven, Belgium: Leuven University Press, p.101. 7. Latour Bruno (1996) Soziale Welt, 47:369-381, English web edition at http://www.bruno-latour.fr/sites/default/files/P67%20ACTOR-NETWORK.pdf. 8. Bourdieu, Pierre, John Thompson (1991) Language and Symbolic Power. Cambridge: Harvard University Press, p.166. 9. Thrift NJ (1996) Spatial Formations. London: Sage, p.258. 10. Burgess, Simon, Eleanor Sanderson and Marcela Umana-Aponte (2011) School ties: An analysis of homophily in an adolescent friendship network. CMPO Working Paper Series No. 11/267. At http://www.bris.ac.uk/cmpo/publications/papers/2011/wp267.pdf. 11. Wimmer Andreas, Kevin Lewis (2010) Beyond and below racial homophily erg models of a friendship network documented on facebook. American Journal of Sociology, 116(2):583-642. Brett Wyatt | October 2015 | Vol.3 | Issue 10 |01-08 17. Ennett Susan T, Bauman Karl E (1996) Adolescent Social Networks: Friendship Cliques, Social Isolates, and Drug Use Risk. Journal of Adolescent Research, 11(2):194-215. 18. Kadushin Charles (2011) Understanding Social Networks: Theories, Concepts, and Findings. New York: Oxford University Press. 19. Van Dijk, Teun A (1999) Media, Racism and Monitoring. In Nordenstreng, Kaarle & Griffin, Michael (Eds.), International Media Monitoring. Cresskill, NJ: Hampton Press, pp. 307-316. 20. Guess Teresa J (2006) The Social Construction of Whiteness: Racism by Intent, Racism by Consequence. Critical Sociology, Koninklijke Brill NV, Leiden 32(4):650. 21. Worsham Lynn (1993) “Emotion and Pedagogical Violence.” Discourse, 15(2):119-48. 22. Berger Peter L, Thomas Luckmann (1966) The Social 7 Available online at: www.ijassh.com Construction of Reality. Doubleday, p.108,116. New York, NY: Anchor Books 23. Weininger Elliot B (2005) Foundations of Pierre Bourdieu's Class Analysis. In Wright, Online, ed. Approaches to Class Analysis, Cambridge: Cambridge University Press, pp. 82-118. 24. Navarro Z (2006) ‘In Search of Cultural Interpretation of Power’, IDS Bulletin, 37(6):11-22. 25. Wacquant Loic (2013) Symbolic power and group-making: On Pierre Bourdieu’s reframing of class. Journal of Classical Sociology, 1-18. 26. Durrheim K, Dixon J (2004) Attitudes in the fiber of everyday life: The discourse of racial evaluation and the lived experience of desegregation. American Psychologist, 59:626-636. 30. Flache Andreas, Tobias Stark (2008) Preference or opportunity? Why do we find more friendship segregation in more heterogeneous schools? Paper presented at 103rd Annual Meeting of the American Sociological Association (ASA). Boston, August 4, 2008. At ar Xiv:0901.2825 [physics.soc-ph]. 31. Freeman LC (1972) “Segregation in Social Sociological Methods andResearch 6:411-30. Networks.” 32. Green Dot Public Schools (2013) Animo Locke II College Preparatory Academy. At http://www.greendot.org/page.cfm?p=3659. 33. Public Schools K12 (2013) Animo Locke Charter High School #2 Information, Athttp://publicschoolsk12.com/high-schools/ca/losangeles-county/062271012306.html. 27. Tatum B (1997) Why are all the black kids sitting together in the cafeteria? And other conversations about race. New York: Basic Books. 34. Hanneman Robert, Mark Riddle (2005) Introduction to social network methods. Online at http://faculty.ucr.edu/~hanneman/nettext/C4_netdraw.html#node s. 28. Bobo Lawrence D, Fox Cybelle (2003) Methods, and theory in social psychological research, Social Psychology Quarterly, 66:4(3)19-332. 35. Prell Christina (2012) Social Network Analysis: History, Theory and Methodology. London: Sage. 29. Rowe MP (1990) Barriers to equality: The power of subtle discrimination to maintain unequal opportunity. Employee Responsibilities and Rights Journal, 3(2):153-163. 8 Brett Wyatt | October 2015 | Vol.3 | Issue 10 |01-08