Adoption is a social institution that is continually evolving in order to meet the needs of children and adults. The research presented in this dissertation focuses on measuring the current cultural sentiments about the practice of adoption and assessing the stigmatization of adoption and the identities of adoptive parent and adopted child. Drawing from Bruce Link and Jo Phelan's conceptualization of stigma and the assumptions of Affect Control Theory, I provide evidence that adoption and thus adoptive families continue to be stigmatized in the United States. My data indicate that adoptive parents and children are socially differentiated from parents and children who are biologically related. Adopted children, particularly children adopted out of foster care, are perceived more negatively than children who are not. The stereotypical traits predicted by Affect Control Theory for adoptive parents and adopted children indicate that these identities are more negative and notably less powerful than those for biological parents and children. In addition, the expected behavioral patterns between adoptive parents and their adopted children are more ambivalent and less supportive than those of biological children and parents. The predictions made in this work must be tested in future research.

This project examines attitude change between 1981 and 2001 for a population of young, well educated Canadians, employing evaluation, potency and activity (EPA) semantic differential ratings of approximately 800 social identities. This comprises my larger data set. I also employ a smaller subset of 102 social identities drawn from the larger data set to explore changes across three points in time (1981, 1995, and 2001) for 102 social identities, supplementing my analysis across two points in time (1981 and 2001) for 800 social identities. The objectives for this dissertation are: (1) to assess stability of attitudes for social identities over time; (2) to identify and describe patterns of change in identity attitudes and to connect observed changes in identity attitudes to historical events, and to social and cultural change in Canadian society; (3) to explore the extent to which identities that cluster together in EPA space define social institutions; and (4) to explore how changes in identity attitudes affect role expectations over time. Despite significant shifts in attitudes for a number of identities, approximately 80% of identity attitudes remained stable over time, confirming findings from past research that cultural sentiments are slow to change. Observed changes could be connected to social and cultural structure. Specifically, dramatic changes occurred for religious and sexual preference/orientation identities. Numerous religious identities decreased on evaluation for male respondents between 1981 and 1995 and then were restored to earlier levels by 2001. Female respondents were not as forgiving and 1995 decreases in evaluation were sustained. These changes are connected to increased secularization and earlier sexual scandals in religious institutions. Sexual preference/orientation identities increased significantly on evaluation for both males and females. However, increases for females were more dramatic and occurred across all three points in time while changes in attitudes for males occurred between 1981 and 1995 and then changed little between 1995 and 2001. These changes can be connected to numerous factors, including the increased visibility of gay/lesbian culture in mainstream media and the absence of a strong anti-gay counter movement. Although social identities clustered in interesting ways, cluster analysis was not very successful in defining social institutions. Computer simulations revealed how role and behaviour expectations change with changes in identity attitudes. For example, there is obvious increase in evaluation between 1981 and 2001 for the behavior of a police officer toward a homosexual. This dissertation concludes by addressing methodological issues such as sample size and generalizability. It is suggested that the corpus of identities should be continually updated to include identities that are emerging from pop culture. Finally, four areas of future research are suggested: (1) a continual monitoring of cultural sentiments; (2) a more detailed focus on individual social institutions; (3) a confirmation of computer predictions with qualitative interview data; and (4) identifying the implications of this research for trend analysis. Practical implications of this dissertation research include the use of computer simulations of identity-role processes in the areas of education and policy research.

This study argues for the need of a testable general symbolic interactionist theory of criminal behavior. I look to affect control theory, a structural symbolic interactionist theory of behavior focused on the cybernetic maintenance of affective meanings shared within a linguistic group and extrapolate from its statements and equations using a large hypothetical event simulation. Employing a novel story-telling interview method to uncover the process of definition of the situation, I interview twenty-five paroled offenders and describe a typical view of criminal actions in both violent and property crime events. I examine this view for criminogenic potential. Next, I investigate the popular view that identity controls behavior in interaction by asking parolees about themselves, and comparing their self perspectives to those of undergraduate students. No support for this view is found. Implications of different culturally-based meaning systems are then examined by measuring affective meanings of criminal events as they are perceived by three different aggregate groups: paroled offenders, probationary offenders, and undergraduate student non-offenders. Affect control predictions about the likelihood of criminal events given these perspectives are found to be in accordance with the relative surmised likelihood of criminal behavior for these groups, as extrapolated from their past behavior. This supports arguments of a culturally based explanation of criminal behavior. I argue that affect control theory presents criminology with the novel potential for a generative theory of crime that integrates micrological and macrological levels of analysis. Finally I outline a proposed affect control theory of crime for further testing.

This project examines attitude change between 1981 and 2001 for a population of young, well educated Canadians, employing evaluation, potency and activity (EPA) semantic differential ratings of approximately 800 social identities. This comprises my larger data set. I also employ a smaller subset of 102 social identities drawn from the larger data set to explore changes across three points in time (1981, 1995, and 2001) for 102 social identities, supplementing my analysis across two points in time (1981 and 2001) for 800 social identities. The objectives for this dissertation are: (1) to assess stability of attitudes for social identities over time; (2) to identify and describe patterns of change in identity attitudes and to connect observed changes in identity attitudes to historical events, and to social and cultural change in Canadian society; (3) to explore the extent to which identities that cluster together in EPA space define social institutions; and (4) to explore how changes in identity attitudes affect role expectations over time. Despite significant shifts in attitudes for a number of identities, approximately 80% of identity attitudes remained stable over time, confirming findings from past research that cultural sentiments are slow to change. Observed changes could be connected to social and cultural structure. Specifically, dramatic changes occurred for religious and sexual preference/orientation identities. Numerous religious identities decreased on evaluation for male respondents between 1981 and 1995 and then were restored to earlier levels by 2001. Female respondents were not as forgiving and 1995 decreases in evaluation were sustained. These changes are connected to increased secularization and earlier sexual scandals in religious institutions. Sexual preference/orientation identities increased significantly on evaluation for both males and females. However, increases for females were more dramatic and occurred across all three points in time while changes in attitudes for males occurred between 1981 and 1995 and then changed little between 1995 and 2001. These changes can be connected to numerous factors, including the increased visibility of gay/lesbian culture in mainstream media and the absence of a strong anti-gay counter movement. Although social identities clustered in interesting ways, cluster analysis was not very successful in defining social institutions. Computer simulations revealed how role and behaviour expectations change with changes in identity attitudes. For example, there is obvious increase in evaluation between 1981 and 2001 for the behavior of a police officer toward a homosexual. This dissertation concludes by addressing methodological issues such as sample size and generalizability. It is suggested that the corpus of identities should be continually updated to include identities that are emerging from pop culture. Finally, four areas of future research are suggested: (1) a continual monitoring of cultural sentiments; (2) a more detailed focus on individual social institutions; (3) a confirmation of computer predictions with qualitative interview data; and (4) identifying the implications of this research for trend analysis. Practical implications of this dissertation research include the use of computer simulations of identity-role processes in the areas of education and policy research.

<p>Subjective cultural meanings were once central to occupational stratification research. However, attempts to operationalize cultural meanings associated with occupations have been widely criticized, leading contemporary stratification scholars to largely abandon subjective measures in favor of objective characteristics. This leaves a gap in our understanding of how inequality is generated and maintained because Weber ([1958]) theorized that status, a form of social symbolic power based on cultural beliefs, represents one of the fundamental bases of inequality. Without an adequate method of operationalizing occupational symbolic meanings, the extent to which cultural beliefs influence stratified life outcomes remains largely unknown.</p><p>To address this, I used affect control theory, a quantitative general theory of</p><p>social action, and its measurement model, the semantic differential scale, to examine three issues regarding the relationship between cultural beliefs and stratified outcomes. Symbolic meaning was quantified into EPA ratings that measure three universal, affective dimensions: evaluation (good versus bad), potency (powerful versus weak), and activity (lively versus quiescent). Despite extensive support within structural social psychology, this approach has not been widely used in the field of stratification. In addition to providing a quantitative framework, because symbolic meanings are comprised of multiple dimensions, affect control theory's multidimensional construction allows for novel approaches not possible using unidimensional measures. The three chapters that follow use affect control theory and ratings of occupational meanings from a newly collected dictionary of affective meaning to address the occupational gender wage gap, the effect of occupational status on life chance outcomes, and the development and testing of a new measure of occupational status.</p> / Dissertation

Vocational psychologists have theorized that the congruence between self and occupations is the key to find fulfilling careers for individuals (Vondracek & Porfeli, 2011). However, the typical use of vocational interests to capture information about the self has been limited because it does not disentangle identity and work preferences in people’s responses in vocational assessments. People cannot be fully informed of careers most fitting to them if the vocational assessment does not capture distinct information about their identity. In this study, we strive to disentangle identity from preferences by including affective identity, which is sentiments that people hold towards themselves, as a predictor for career intent. Focusing on the context of entrepreneurship as a career, we examine how the congruence of affective identity and affective ratings of entrepreneurs provide additional information in predicting entrepreneurial intent beyond work preferences congruence. We invited undergraduate students from a Canadian University to complete an online-survey for an extra credit in their psychology course. We examined the impact of different congruence form of intent by including linear and polynomial terms of self and entrepreneur ratings when conducting a hierarchical linear regression. In general, we found support for the validity of our developed measure and demonstrated that contemporary congruence forms based on factors of affective identity brings new information in career choice perception. Affective identity accounts for unique predictability of self perception beyond vocational preference, which suggests the potential use of affective identity for career search feedback.

Vocational psychologists have theorized that the congruence between self and occupations is the key to find fulfilling careers for individuals (Vondracek & Porfeli, 2011). However, the typical use of vocational interests to capture information about the self has been limited because it does not disentangle identity and work preferences in people’s responses in vocational assessments. People cannot be fully informed of careers most fitting to them if the vocational assessment does not capture distinct information about their identity. In this study, we strive to disentangle identity from preferences by including affective identity, which is sentiments that people hold towards themselves, as a predictor for career intent. Focusing on the context of entrepreneurship as a career, we examine how the congruence of affective identity and affective ratings of entrepreneurs provide additional information in predicting entrepreneurial intent beyond work preferences congruence. We invited undergraduate students from a Canadian University to complete an online-survey for an extra credit in their psychology course. We examined the impact of different congruence form of intent by including linear and polynomial terms of self and entrepreneur ratings when conducting a hierarchical linear regression. In general, we found support for the validity of our developed measure and demonstrated that contemporary congruence forms based on factors of affective identity brings new information in career choice perception. Affective identity accounts for unique predictability of self perception beyond vocational preference, which suggests the potential use of affective identity for career search feedback.

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Social identities, the labels we use to describe ourselves and others, carry with them stereotypes that have significant impacts on our social lives. Our stereotypes, sometimes without us knowing, guide our decisions on whom to talk to and whom to stay away from, whom to befriend and whom to bully, whom to treat with reverence and whom to view with disgust. Despite these impacts of identities and stereotypes on our lives, existing methods used to understand them are lacking. In this thesis, I first develop three novel computational tools that further our ability to test and utilize existing social theory on identity and stereotypes. These tools include a method to extract identities from Twitter data, a method to infer affective stereotypes from newspaper data and a method to infer both affective and semantic stereotypes from Twitter data. Case studies using these methods provide insights into Twitter data relevant to the Eric Garner and Michael Brown tragedies and both Twitter and newspaper data from the “Arab Spring”. Results from these case studies motivate the need for not only new methods for existing theory, but new social theory as well. To this end, I develop a new sociotheoretic model of identity labeling - how we choose which label to apply to others in a particular situation. The model combines data, methods and theory from the social sciences and machine learning, providing an important example of the surprisingly rich interconnections between these fields.

Social media offers a powerful outlet for people's thoughts and feelings -- it is an enormous ever-growing source of texts ranging from everyday observations to involved discussions. This thesis contributes to the field of sentiment analysis, which aims to extract emotions and opinions from text. A basic goal is to classify text as expressing either positive or negative emotion. Sentiment classifiers have been built for social media text such as product reviews, blog posts, and even Twitter messages. With increasing complexity of text sources and topics, it is time to re-examine the standard sentiment extraction approaches, and possibly to re-define and enrich sentiment definition. Thus, this thesis begins by introducing a rich multi-dimensional model based on Affect Control Theory and showing its usefulness in sentiment classification. Next, unlike sentiment analysis research to date, we examine sentiment expression and polarity classification within and across various social media streams by building topical datasets. When comparing Twitter, reviews, and blogs on consumer product topics, we show that it is possible, and sometimes even beneficial, to train sentiment classifiers on text sources which are different from the target text. This is not the case, however, when we compare political discussion in YouTube comments to Twitter posts, demonstrating the difficulty of political sentiment classification. We further show that neither discussion volume or sentiment expressed in these streams correspond well to national polls, putting in question recent research linking the two. The complexity of political discussion also calls for a more specific re-definition of "sentiment" as agreement with the author's political stance. We conclude that sentiment must be defined, and tools for its analysis designed, within a larger framework of human interaction.