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Title: Creating Constructs Through Categorization: Gender and Race.
Creator: Simpkins, Joshua, Carter, Shannon, Carter, James, Anthony, Amanda, University of Central Florida
Abstract / Description: In U.S. society, the systems of gender and race operate to privilege and oppress individuals based on their location within these systems. All of the interactions an individual experiences as they go about their day-to-day lives are shaped by these interlocking systems. As a result, there is an extensive body of sociological literature addressing how individuals in U.S. society are privileged and oppressed on the basis of their perceived membership in gender and race categories; however,...
Show moreIn U.S. society, the systems of gender and race operate to privilege and oppress individuals based on their location within these systems. All of the interactions an individual experiences as they go about their day-to-day lives are shaped by these interlocking systems. As a result, there is an extensive body of sociological literature addressing how individuals in U.S. society are privileged and oppressed on the basis of their perceived membership in gender and race categories; however, relatively little research exists examining how individuals come to be seen by others as members of gender and race categories in the first place. In order to address this gap in the existent literature, this thesis asked 354 participants to perform gender and race categorizations for 28 target individuals of various gender and race category memberships. Participants were asked to make a categorization, rate how confident they were in that categorizations accuracy, and then explain why they made the gender or race categorization that they did. In analyzing these categorizations, this thesis produced three important findings about the process of gender and race categorization. First, this thesis identified two gender categories ("female" and "male") and eight race categories ("White," " Black," "Latino," "Asian," "Southeast Asian," "South Asian/Indian," "Middle Eastern," and "Mixed Race") used in gender and race categorization. Second, particularly in the common usage of the biologically-based concepts of "sex" and "race," rather than the socially-based concepts of "gender" and "ethnicity." Third, this thesis found interactions between the gender and race systems in categorization, finding that White individuals and male individuals are gender categorized more easily than Black individuals or female individuals, and individuals will less "ambiguous" skin coloration are more easily categorized than others.
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Date Issued: 2014
Identifier: CFE0005259, ucf:50610
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005259

Title: MEMORY OF WORDS: A CATEGORIZATION TASK.
Creator: Maxim, Paulina, Sims, Valerie, University of Central Florida
Abstract / Description: Through the years, the Deese-Roediger-McDermott Paradigm has demonstrated to be a useful method of observing false memories from semantically related word lists. The present study was conducted fully online and measured memory performance dependent on categorization of words by using groups, as well as dragging words across the page as a form of interaction. In a 2 (Categorized, Non-Categorized) x 2 (Interactive, Non-Interactive) between-subject factorial experiment, 56 undergraduate students...
Show moreThrough the years, the Deese-Roediger-McDermott Paradigm has demonstrated to be a useful method of observing false memories from semantically related word lists. The present study was conducted fully online and measured memory performance dependent on categorization of words by using groups, as well as dragging words across the page as a form of interaction. In a 2 (Categorized, Non-Categorized) x 2 (Interactive, Non-Interactive) between-subject factorial experiment, 56 undergraduate students were shown 18 different lists of 15 associative words to be studied, one list at a time. Participants were given a free recall test immediately after studying each individual list. Participants also performed a recognition test after having studied and recalled all 18 lists, which consisted of 216 items; half of the words were presented throughout the studied lists, and the other half consisted of the 18 critical lure words as well as several other distractor items from a subset of word lists. It was hypothesized that participants in both the categorization and interaction condition would show the highest levels of accurate memory recall and recognition compared to those who were simply given a list to review. Findings did not support this hypothesis indicating no clear differences between participants who categorized (or not) or interacted with the lists (or not). High probabilities were found for words ranked as highly falsely recalled and low probabilities were found for those ranked towards the bottom, much like the findings in Stadler et al., (1999).
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Date Issued: 2018
Identifier: CFH2000393, ucf:45903
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH2000393

Title: WHAT IS IMPLICIT ABOUT IMPLICIT CATEGORY LEARNING?.
Creator: Murray, Matthew, Bohil, Corey, University of Central Florida
Abstract / Description: The conscious or unconscious acquirement of knowledge in implicit category learning was examined in accordance with predictions made by the COVIS theory of categorization (Ashby & Maddox, 2011). COVIS assumes separate category learning systems. The explicit system relies on easily verbalized rules while the implicit system requires integration of more than one stimulus dimension. Participants in this experiment categorized lines varying in length and orientation as belonging to one of two...
Show moreThe conscious or unconscious acquirement of knowledge in implicit category learning was examined in accordance with predictions made by the COVIS theory of categorization (Ashby & Maddox, 2011). COVIS assumes separate category learning systems. The explicit system relies on easily verbalized rules while the implicit system requires integration of more than one stimulus dimension. Participants in this experiment categorized lines varying in length and orientation as belonging to one of two categories; in the rule-based (RB) condition only length was relevant, while participants in the information integration (II) condition needed to integrate both dimensions. Corrective feedback was provided during training. In test phases, participants were asked to attribute their responses to one of four criteria (guess, intuition, memory, or rule), a measure adapted from Dienes and Scott (2005). Neural activity in dorsolateral prefrontal cortex (DLPFC) was recorded with a 20-optode fNIRS system. We found that in the implicit (II) learning condition, participants who reported guessing less than half the time were learning but were unconscious to the structures driving that learning, reflected by accuracy, attribution self-report and neural activation. Our results substantiate the claim that implicit category learning is mediated unconsciously and evidence the dual-system model of categorization postulated by COVIS, furthering our understanding of category learning and thus, the ways in which to improve it.
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Date Issued: 2015
Identifier: CFH0004765, ucf:45348
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004765

Title: Categorical range reporting in 2D using Wavelet tree.
Creator: Kanthareddy Sumithra, Swathi, Valliyil Thankachan, Sharma, Sundaram, Kalpathy, Jha, Sumit Kumar, University of Central Florida
Abstract / Description: The research involved optimizing the space and bounding the output time by the output size in categorical range reporting of points within the given rectangle query Q in two dimension using wavelet trees and range counting. The time taken to report those points and space to tore n points in set S can be done using wavelet tree and range counting. Consider set S consisting of n points in two-dimension. An orthogonal range reporting query rectangle Q = [a,b] x [c,d] on set S is sent to report...
Show moreThe research involved optimizing the space and bounding the output time by the output size in categorical range reporting of points within the given rectangle query Q in two dimension using wavelet trees and range counting. The time taken to report those points and space to tore n points in set S can be done using wavelet tree and range counting. Consider set S consisting of n points in two-dimension. An orthogonal range reporting query rectangle Q = [a,b] x [c,d] on set S is sent to report the set of points in S which interacts with the query rectangle[Q]. The time taken to report these points is dependent on the output size. The categorical range reporting is an extension of orthogonal range reporting, where each point (xi; yi) in S is associated with a category c[i] belongs to [sigma] and the query is to report the set of distinct categories within the query region [a,b] x [c,d] once. In this paper, we present a new solution for this problem using wavelet trees. The points in S associated with categories are stored in a wavelet tree structure. Wavelet tree structure consists of bit map for these categories. To report the categories in the given rectangle queryQ, rank and select operations on the wavelet tree is applied. It was observed that the space taken by the structure was O(n log sigma) space and query time is O(k log n log sigma). Notice that the new result is more efficient in space when log sigma = O(log n). The study provides a new and efficient way of storing large dataset and also bounds the time complexity by the output size k.
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Date Issued: 2018
Identifier: CFE0007204, ucf:52275
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007204

Title: THE ROLE OF FACIAL APPEARANCE IN GENDER CATEGORIZATION.
Creator: Simpkins, Joshua, Carter, Shannon, University of Central Florida
Abstract / Description: Of the many systems of social organization which members of US society use to categorize other members, gender is one of the most important. The gender system operates to place members of US society into categories, and then allocate labor and resources to those members on the basis of their category membership. In order to better understand the gender system, this study examines the methods by which members of US society use the gender system to place other members into a gender category....
Show moreOf the many systems of social organization which members of US society use to categorize other members, gender is one of the most important. The gender system operates to place members of US society into categories, and then allocate labor and resources to those members on the basis of their category membership. In order to better understand the gender system, this study examines the methods by which members of US society use the gender system to place other members into a gender category. First, full facial photographs were taken of a group of participants of varying gender, race, ethnicity, and age. Then, parts of each participant's face were isolated digitally and shown to a second group of participants. This second group was asked to identify the sex and/or gender of the individual in the image, indicate how confident they were in this identification, and then write a brief explanation for why they identified the individual in the image as they did. The analysis conducted by this study supports three findings. First, though the gender categories "male" and "female" are still widely predominant, other categories such as "genderqueer" are seeing use as well. Second, the mouth and lips tend to be seen as more important indicators of gender than other facial features. Finally, while the race and gender category membership of the member doing the categorizing has little or no interaction with the gender categorization process, the race and gender category membership of the member being categorized does have a significant interaction.
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Date Issued: 2011
Identifier: CFH0003690, ucf:44750
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0003690

Title: Subjective measures of implicit categorization learning.
Creator: Hill, Audrey, Bohil, Corey, Neider, Mark, Szalma, James, Rapport, Mark, University of Central Florida
Abstract / Description: The neuropsychological theory known as COVIS (COmpetition between Verbal and Implicit Systems) postulates that distinct brain systems compete during category learning. The explicit system involves conscious hypothesis testing about verbalizable rules, while the implicit system relies on procedural learning of rules that are difficult to verbalize. Specifically from a behavioral approach, COVIS has been supported through demonstrating empirical dissociations between explicit and implicit...
Show moreThe neuropsychological theory known as COVIS (COmpetition between Verbal and Implicit Systems) postulates that distinct brain systems compete during category learning. The explicit system involves conscious hypothesis testing about verbalizable rules, while the implicit system relies on procedural learning of rules that are difficult to verbalize. Specifically from a behavioral approach, COVIS has been supported through demonstrating empirical dissociations between explicit and implicit learning tasks. The current studies were designed to gain deeper understanding of implicit category learning through the implementation of a subjective measure of awareness, Meta d', which until now has not been validated within a COVIS framework. Meta d' is a measure of metacognitive accuracy. This is the ability to assess the accuracy of one's own performance. These three experiments evaluated the use of Meta d' as a valid predictor of task performance within a two-structure perceptual categorization task. Experiment 1 focuses on using Meta d' to parse out dissociations between awareness and performance through the phenomenon of Blind Sight and Blind Insight. Experiment 2 and 3 utilize a motor response mapping disruption to observe predicted decrements to the implicit learning system. Experiment 3 utilizes functional Near Infrared Spectroscopy (fNIRS) to measure hemodynamic changes in the Prefrontal Cortex as a function of category structure. Across the 3 experiments, Meta d' in conjunction with decision bound model fits were used to make accurate predictions about the differences in performance throughout implicit and explicit categorization tasks. These collective results indicate that metacognitive accuracy, an implicit structure, was highly sensitive to a whether a person is using the correct rule strategies through the task.
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Date Issued: 2018
Identifier: CFE0007753, ucf:52376
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007753

Title: CATEGORICAL PROPERTIES OF LATTICE-VALUED CONVERGENCE SPACES.
Creator: Flores, Paul, Richardson, Gary, University of Central Florida
Abstract / Description: This work can be roughly divided into two parts. Initially, it may be considered a continuation of the very interesting research on the topic of Lattice-Valued Convergence Spaces given by Jäger [2001, 2005]. The alternate axioms presented here seem to lead to theorems having proofs more closely related to standard arguments used in Convergence Space theory when the Lattice is L=.Various Subcategories are investigated. One such subconstruct is shown to be isomorphic to the category of...
Show moreThis work can be roughly divided into two parts. Initially, it may be considered a continuation of the very interesting research on the topic of Lattice-Valued Convergence Spaces given by Jäger [2001, 2005]. The alternate axioms presented here seem to lead to theorems having proofs more closely related to standard arguments used in Convergence Space theory when the Lattice is L=.Various Subcategories are investigated. One such subconstruct is shown to be isomorphic to the category of Lattice Valued Fuzzy Convergence Spaces defined and studied by Jäger . Our principal category is shown to be a topological universe and contains a subconstruct isomorphic to the category of probabilistic convergence spaces discussed in Kent and Richardson when L=. Fundamental work in lattice-valued convergence from the more general perspective of monads can be found in Gähler . Secondly, diagonal axioms are defined in the category whose objects consist of all the lattice valued convergence spaces. When the latter lattice is linearly ordered, a diagonal condition is given which characterizes those objects in the category that are determined by probabilistic convergence spaces which are topological. Certain background information regarding filters, convergence spaces, and diagonal axioms with its dual are given in Chapter 1. Chapter 2 describes Probabilistic Convergence and associated Diagonal axioms. Chapter 3 defines Jäger convergence and proves that Jäger's construct is isomorphic to a bireflective subconstruct of SL-CS. Furthermore, connections between the diagonal axioms discussed and those given by Gähler are explored. In Chapter 4, further categorical properties of SL-CS are discussed and in particular, it is shown that SL-CS is topological, cartesian closed, and extensional. Chapter 5 explores connections between diagonal axioms for objects in the sub construct δ(PCS) and SL-CS. Finally, recommendations for further research are provided.
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Date Issued: 2007
Identifier: CFE0001715, ucf:47292
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001715

Title: SCALABLE AND EFFICIENT OUTLIER DETECTION IN LARGE DISTRIBUTED DATA SETS WITH MIXED-TYPE ATTRIBUTES.
Creator: Koufakou, Anna, Georgiopoulos, Michael, University of Central Florida
Abstract / Description: An important problem that appears often when analyzing data involves identifying irregular or abnormal data points called outliers. This problem broadly arises under two scenarios: when outliers are to be removed from the data before analysis, and when useful information or knowledge can be extracted by the outliers themselves. Outlier Detection in the context of the second scenario is a research field that has attracted significant attention in a broad range of useful applications. For...
Show moreAn important problem that appears often when analyzing data involves identifying irregular or abnormal data points called outliers. This problem broadly arises under two scenarios: when outliers are to be removed from the data before analysis, and when useful information or knowledge can be extracted by the outliers themselves. Outlier Detection in the context of the second scenario is a research field that has attracted significant attention in a broad range of useful applications. For example, in credit card transaction data, outliers might indicate potential fraud; in network traffic data, outliers might represent potential intrusion attempts. The basis of deciding if a data point is an outlier is often some measure or notion of dissimilarity between the data point under consideration and the rest. Traditional outlier detection methods assume numerical or ordinal data, and compute pair-wise distances between data points. However, the notion of distance or similarity for categorical data is more difficult to define. Moreover, the size of currently available data sets dictates the need for fast and scalable outlier detection methods, thus precluding distance computations. Additionally, these methods must be applicable to data which might be distributed among different locations. In this work, we propose novel strategies to efficiently deal with large distributed data containing mixed-type attributes. Specifically, we first propose a fast and scalable algorithm for categorical data (AVF), and its parallel version based on MapReduce (MR-AVF). We extend AVF and introduce a fast outlier detection algorithm for large distributed data with mixed-type attributes (ODMAD). Finally, we modify ODMAD in order to deal with very high-dimensional categorical data. Experiments with large real-world and synthetic data show that the proposed methods exhibit large performance gains and high scalability compared to the state-of-the-art, while achieving similar accuracy detection rates.
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Date Issued: 2009
Identifier: CFE0002734, ucf:48161
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002734

Title: CATEGORICAL PERCEPTION OF STOP CONSONANTS IN CHILDREN WITH AUTISM.
Creator: Bourdeau, Laura, Ryalls, Jack, University of Central Florida
Abstract / Description: The purpose of this study is to determine whether children with autism recognize the same perceptual voicing boundaries of stop consonants as normally developing children of the same age group. This was explored using three groups of participants: ten children with autism between the ages of 8-14, five typically developing children between the ages of 8-14, and five typically developing seven-year-old children. Children in all groups listened to initial stop consonant syllables with voicing...
Show moreThe purpose of this study is to determine whether children with autism recognize the same perceptual voicing boundaries of stop consonants as normally developing children of the same age group. This was explored using three groups of participants: ten children with autism between the ages of 8-14, five typically developing children between the ages of 8-14, and five typically developing seven-year-old children. Children in all groups listened to initial stop consonant syllables with voicing contrasts, with voiced and voiceless cognates presented. The initial consonants were altered along a voice onset time continuum within the typically perceived boundaries of each consonant. Participants were instructed to select the box containing the letter of the initial consonant they perceive when they hear each syllable. Results revealed greater difference between the responses of the children with autism when compared with the older control group, than when compared with the younger children. The responses of the children with autism were more similar to those of the children in the second control group. This could be indicative of a delay in the children with autism of perception of the categorical boundaries along the dimension of voice onset time compared to typical children‟s perception of these consonants.
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Date Issued: 2009
Identifier: CFE0002796, ucf:48126
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002796

Title: Managerial Descriptions of Characteristics and Communication Rule Violations of Millennial Employees: Insights into the Hospitality Industry.
Creator: Baker, Nicole, Hastings, Sally, Miller, Ann, Musambira, George, University of Central Florida
Abstract / Description: Millennials are the newest generation to enter the workforce. When Millennials enter organizations, managers construct perceptions about Millennials' communication behaviors, including their characteristics and adherence to organizational rules. These perceptions help managers decide Millennials' organizational fit. A review of literature revealed a scarcity of empirical research in this area with little empirical research from communication scholars who apply communication frameworks,...
Show moreMillennials are the newest generation to enter the workforce. When Millennials enter organizations, managers construct perceptions about Millennials' communication behaviors, including their characteristics and adherence to organizational rules. These perceptions help managers decide Millennials' organizational fit. A review of literature revealed a scarcity of empirical research in this area with little empirical research from communication scholars who apply communication frameworks, theories, and concepts. This research used the lens of social constructionism to understand the membership categorization devices and category-bound activities managers use to characterize Millennials. In order to better understand how Millennials conform to and change organizational culture, data were reviewed for those normative and code rules managers described Millennials violating. In this qualitative, exploratory study, 25 managers who were 31 years of age or older that worked in the hospitality industry and managed Millennial (18 to 30 years old) employees were interviewed through a snowball convenience sample. Interviews were transcribed and patterns were identified. Data analysis indicated that (")kids,(") (")age group,(") and (")Millennials(") and variations of the Millennial term were used to categorize Millennials. Analysis of category-bound activities showed patterns in Millennials' desire for learning and training, mixed preference for teamwork often affected by their liking for peers, and needs for frequent, clear, personalized feedback. With respect to rule violations, data showed that some organizations were adapting their cell phone policies in response to Millennial rules resistance. However, organizations were not willing to accommodate Millennials' rule violations in either the area of time-off requests or uncivil behavior due to organizational codes.
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Date Issued: 2013
Identifier: CFE0004649, ucf:49882
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004649

Title: The Darkside of Stereotypes: The Effects of Crime in the Media on Racial Identity and Emotions.
Creator: Campbell, Shantel, Rubenking, Bridget, Kinnally, William, Neuberger, Lindsay, Signorielli, Nancy, University of Central Florida
Abstract / Description: This study investigated how the image of Black criminality in the media affects the racial identity and emotions of Blacks. It also examined how the image of White criminality affects the racial identity and emotions of Whites as a point of comparison. These effects were studied through the lens of self-categorization theory and inter-group emotions theory. SCT posits that a person's biases are a result of how relevant their social identity is to their self-concept. IET posits that the...
Show moreThis study investigated how the image of Black criminality in the media affects the racial identity and emotions of Blacks. It also examined how the image of White criminality affects the racial identity and emotions of Whites as a point of comparison. These effects were studied through the lens of self-categorization theory and inter-group emotions theory. SCT posits that a person's biases are a result of how relevant their social identity is to their self-concept. IET posits that the emotions a person feels are derived from the social group they belong to.This study analyzed 369 responses from participants who were presented with Twitter news pages that presented all Black crime stories, all White crime stories, or negative (no race) stories. Findings showed that both Blacks and Whites decreased self-categorization with their race after viewing same-race criminality news stories. It also found that emotions were affected by content of the newsfeed. Lastly, the study found significant differences in self-categorization based on level of identification.
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Date Issued: 2015
Identifier: CFE0005769, ucf:50111
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005769

Title: MIXED SIGNALS AT THE INTERSECTION: THE EFFECT OF ORGANIZATIONAL COMPOSITION ON RATINGS OF BLACK WOMEN'S MANAGEMENT SUITABILITY.
Creator: Bowens, Laticia, Fritzsche, Ph.D., Barbara, University of Central Florida
Abstract / Description: Historically, Black women's workplace experiences have been understudied, partially due to an implicit assumption that their experiences are subsumed by research on Black men and/or White women. This oversight is even more evident in the field of management. However, considerable attention has been given to the debate about whether Black women are at a double advantage (i.e., as supposed affirmative action "two-for-one bargains") or at a double disadvantage due to their double marginalizing...
Show moreHistorically, Black women's workplace experiences have been understudied, partially due to an implicit assumption that their experiences are subsumed by research on Black men and/or White women. This oversight is even more evident in the field of management. However, considerable attention has been given to the debate about whether Black women are at a double advantage (i.e., as supposed affirmative action "two-for-one bargains") or at a double disadvantage due to their double marginalizing characteristics. Empirical research in the area has found support for each side, furthering the debate, but also advancing an overly simplistic explanation for a set of experiences that is certainly much more complicated. Therefore, the purpose of this study was to investigate the conditions under which Black women, when seeking managerial employment, are at a double advantage or disadvantage, using Critical Race Feminism, Cox's Interactional Model of Cultural Diversity (IMCD; 1994), and theories of social categorization as the theoretical foundation. A 2 (sex) x 2 (race) x 2 (demographic composition of the workplace) between-subjects design was used to test the hypotheses that the Black female applicant would have a double disadvantage in a more demographically balanced organization and double advantage in an organization that is more White and male. Participants (N = 361) reviewed information about an organization (where demographic composition was manipulated) and three available management positions. They also reviewed a fictional professional networking profile of a job applicant where race and sex were manipulated through photos, and job qualifications and experience were held constant. Based on all of the information, they rated the applicant on his/her suitability for the jobs. Results of planned contrasts and ANOVAs showed partial support for the hypotheses. In the balanced organization, the Black female applicant was rated lower in suitability for entry-level management than the Black male and White female applicants. Likewise, she was rated higher than the Black male and White female applicants in the less diverse organization, when evaluated for upper-level management. Thus, the study clarifies the theories of double advantage and double disadvantage by identifying organizational composition as a moderator of the relationship between applicant race/sex and employment outcomes (i.e., management suitability ratings). The implications of these findings are discussed.
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Date Issued: 2011
Identifier: CFE0003761, ucf:48761
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003761

Title: THE INCOMPATIBILITY OF FREEDOM OF THE WILL AND ANTHROPOLOGICAL PHYSICALISM.
Creator: Gonzalez, Ariel, Rodgers, Travis, University of Central Florida
Abstract / Description: Many contemporary naturalistic philosophers have taken it for granted that a robust theory of free will, one which would afford us with an agency substantial enough to render us morally responsible for our actions, is itself not conceptually compatible with the philosophical theory of naturalism. I attempt to account for why it is that free will (in its most substantial form) cannot be plausibly located within a naturalistic understanding of the world. I consider the issues surrounding an...
Show moreMany contemporary naturalistic philosophers have taken it for granted that a robust theory of free will, one which would afford us with an agency substantial enough to render us morally responsible for our actions, is itself not conceptually compatible with the philosophical theory of naturalism. I attempt to account for why it is that free will (in its most substantial form) cannot be plausibly located within a naturalistic understanding of the world. I consider the issues surrounding an acceptance of a robust theory of free will within a naturalistic framework. Timothy O'Connor's reconciliatory effort in maintaining both a scientifically naturalist understanding of the human person and a full-blooded theory of agent-causal libertarian free will is considered. I conclude that Timothy O'Connor's reconciliatory model cannot be maintained and I reference several conceptual difficulties surrounding the reconciliation of agent-causal libertarian properties with physical properties that haunt the naturalistic libertarian.
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Date Issued: 2014
Identifier: CFH0004628, ucf:45292
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004628

Categorization (3)	+ -
categorization (2)	+ -
fNIRS (2)	+ -
stereotypes (2)	+ -
African American women (1)	+ -

Agent (1)	+ -
Agent-Causal (1)	+ -
Agent-Cause (1)	+ -
Alternate Possibilities (1)	+ -
Alternative Possibilities (1)	+ -
Anomaly Detection (1)	+ -
Black women (1)	+ -
COVIS (1)	+ -
Categorical Ability (1)	+ -
Categorical Datasets (1)	+ -
Categorical Properties (1)	+ -
Categorical range reporting (1)	+ -
Chalmers (1)	+ -
Cognition (1)	+ -
Compatibilism (1)	+ -
Control (1)	+ -
Creatio (1)	+ -
Creatio ex Nihilo (1)	+ -
Critical Race Feminism (1)	+ -
Data Mining (1)	+ -
Determinism (1)	+ -
Determinist (1)	+ -
Deterministic (1)	+ -
Disposition (1)	+ -
Distributed Datasets (1)	+ -

ETD Collection (9)	+ -
Honors Collection (4)	+ -

University of Central Florida (13)	+ -
Bohil, Corey (2)	+ -
Carter, Shannon (2)	+ -
Simpkins, Joshua (2)	+ -
Anthony, Amanda (1)	+ -

Baker, Nicole (1)	+ -
Bourdeau, Laura (1)	+ -
Bowens, Laticia (1)	+ -
Campbell, Shantel (1)	+ -
Carter, James (1)	+ -
Flores, Paul (1)	+ -
Fritzsche, Ph.D., Barbara (1)	+ -
Georgiopoulos, Michael (1)	+ -
Gonzalez, Ariel (1)	+ -
Hastings, Sally (1)	+ -
Hill, Audrey (1)	+ -
Jha, Sumit Kumar (1)	+ -
Kanthareddy Sumithra, Swathi (1)	+ -
Kinnally, William (1)	+ -
Koufakou, Anna (1)	+ -
Maxim, Paulina (1)	+ -
Miller, Ann (1)	+ -
Murray, Matthew (1)	+ -
Musambira, George (1)	+ -
Neider, Mark (1)	+ -
Neuberger, Lindsay (1)	+ -
Rapport, Mark (1)	+ -
Richardson, Gary (1)	+ -
Rodgers, Travis (1)	+ -
Rubenking, Bridget (1)	+ -

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