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INTERACTIVE TEXT-IMAGE CONCEPTUAL MODELS FOR LITERARY INTERPRETATION AND COMPOSITION IN THE DIGITAL AGE
Title
INTERACTIVE TEXT-IMAGE CONCEPTUAL MODELS FOR LITERARY INTERPRETATION AND COMPOSITION IN THE DIGITAL AGE.
Creator
Weaver, Elizabeth, Saper, Craig, University of Central Florida
Abstract / Description
This dissertation focuses on text-image conceptual models for literary interpretation and composition in the digital age. The models investigate an interactive blend of textually-based linear-sequential approaches and visually-based spatial-simultaneous approaches. The models employ Gestalt-inspired figure-ground segregation models, along with other theoretical models, that demonstrate the dynamic capabilities of images as conceptual tools as well as alternate forms of text. The models...
Show moreThis dissertation focuses on text-image conceptual models for literary interpretation and composition in the digital age. The models investigate an interactive blend of textually-based linear-sequential approaches and visually-based spatial-simultaneous approaches. The models employ Gestalt-inspired figure-ground segregation models, along with other theoretical models, that demonstrate the dynamic capabilities of images as conceptual tools as well as alternate forms of text. The models encourage an interpretative style with active participants in open-ended, multi-sensory meaning-making processes. The models use the flexible tools of modern technology as approaches to meaning-making with art strategies used for research strategies as well as a means to appreciate reading and writing in the context of an increasingly visual environment.
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Date Issued
2010
Identifier
CFE0003008, ucf:48335
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0003008
Road Networks, Social Disorganization and Lethality, an Exploration of Theory and an Examination of Covariates
Title
Road Networks, Social Disorganization and Lethality, an Exploration of Theory and an Examination of Covariates.
Creator
Poole, Aaron, Corzine, Harold, Huff-Corzine, Lin, Mustaine, Elizabeth, Jarvis, John, Weaver, Gregory, University of Central Florida
Abstract / Description
Utilizing a Criminal Event Perspective, the analyses of this dissertation test a variety of relationships to the dependent variable: the Criminal Lethality Index. Data from the National Incident-Based Reporting System, the Census and American Community Survey, the American Trauma Society, and data derived from the Census's mapping TIGER files are combined to create a database of 190 cities. This database is used to test road network connectivity (Gama Index), medical resources, criminal...
Show moreUtilizing a Criminal Event Perspective, the analyses of this dissertation test a variety of relationships to the dependent variable: the Criminal Lethality Index. Data from the National Incident-Based Reporting System, the Census and American Community Survey, the American Trauma Society, and data derived from the Census's mapping TIGER files are combined to create a database of 190 cities. This database is used to test road network connectivity (Gama Index), medical resources, criminal covariates and Social Disorganization variables in relation to a city's Criminal Lethality Index. OLS regression demonstrates a significant and negative relationship between a city's Gama Index and its Criminal Lethality Index. In addition, percent male, percent black, median income and percent of the population employed in diagnosing and treating medical professions were all consistently positively related to Criminal Lethality. The percent of males 16 to 24, percent of single parent households, and Concentrated Disadvantage Index were all consistently and negatively related to Criminal Lethality. Given these surprising results, additional diagnostic regressions are run using more traditional dependent variables such as the number of murders in a city and the proportion of aggravated assaults with major injuries per 100,000 population. These reveal the idiosyncratic nature of utilizing the Criminal Lethality Index. This dependent variable has proven useful in some circumstances and counterintuitive in others. The source of the seemingly unintuitive results is the fact that certain factors only reduce murders but many factors impact both murder and aggravated assaults, thereby creating difficultly when trying to predict patterns in Criminal Lethality.
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Date Issued
2013
Identifier
CFE0005046, ucf:49961
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0005046