Broadening access to books on Texas and Oklahoma: Final report, best practices, and lessons learned (open access)

Broadening access to books on Texas and Oklahoma: Final report, best practices, and lessons learned

This white paper provides a summary of grant activities and provides some best practices and lessons learned for other efforts to make out-of-print humanities books available in ebook format.
Date: March 20, 2020
Creator: Hawkins, Kevin S.
System: The UNT Digital Library
Programmatic Extraction of ‘Documents’ from Web Archives: Identifying Document Characteristics from Content Selector Interviews (open access)

Programmatic Extraction of ‘Documents’ from Web Archives: Identifying Document Characteristics from Content Selector Interviews

White paper documenting the results of interviews with professionals who manage collections of state or federal documents, and institutional repositories. These interviews gathered information about collection policies and characteristics of born-digital publications that are incorporated into these bodies of materials, to inform future machine learning algorithms.
Date: 2020
Creator: Fox, Nathaniel T.; Phillips, Mark Edward & Tarver, Hannah
System: The UNT Digital Library
Leveraging Geographical Disparities of Socio-Economic Factors to Predict Vulnerable Teenagers to Teen Birth: Chicago as A Case Study (open access)

Leveraging Geographical Disparities of Socio-Economic Factors to Predict Vulnerable Teenagers to Teen Birth: Chicago as A Case Study

Teen birth (TB) imposes serious health and economic burdens to both individuals and government. Various attempts have been made to overcome TB such as teen pregnancy prevention evidence-based programs. However, these programs might have declined teen birth rate (TBR), most of which do not address the influencing socio-economic factors linked to areas where teenagers live. This study is aimed at investigating socio-economic factors contributing to TB and identify their geographical disparities. The methodology was developed using the vulnerability theory to examine the complex relationship between TB and socio-economic factors. Principal Component Analysis (PCA) and Geographically Weighted Regression (GWR) were employed to analyze census data. Findings suggest that socio-economically disadvantaged minorities, including unemployed black and uneducated Hispanic, are more vulnerable to TB. Additionally, geographic locations of communities where such teenager live are recognized. The outcomes verified the utility of the vulnerability theory to predict the geographical locations of vulnerable teens that can be leveraged by policymakers to allocate more health resources and perform place-specific interventions to effectively reduce TBR.
Date: December 2020
Creator: Sadeghinaeenifard, Fariba & Hawamdeh, Suliman M.
System: The UNT Digital Library