Descriptive richness of free-text metadata: a comparative analysis of three language archives

This article analyzes item‐level metadata in three language archives by focusing on free‐text metadata: the Endangered Language Archive, Pacific Regional Archive for Digital Sources in Endangered Cultures, and the Archive of the Indigenous Languages of Latin America. The study identified categories of information included in Description metadata fields and the relative distribution of these categories.
Date: October 22, 2020
Creator: Burke, Mary & Zavalina, Oksana
System: The UNT Digital Library
The Metadata Education and Research Information Commons (MERIC): A Collaborative Teaching and Research Initiative (open access)

The Metadata Education and Research Information Commons (MERIC): A Collaborative Teaching and Research Initiative

Article dicsussing the Metadata Education and Research Information Commons (MERIC), a collaborative teaching and research initiative.
Date: December 22, 2007
Creator: Vellucci, Sherry L.; Hsieh-Yee, Ingrid & Moen, William E.
System: The UNT Digital Library
The Relationship between Administrative Intensity and Student Retention and Success: A Three-Year Study (open access)

The Relationship between Administrative Intensity and Student Retention and Success: A Three-Year Study

This article describes a secondary data analysis study linking the internal organizational elements of administrative intensity to institutional results as evidenced by higher education student retention and graduation rates.
Date: September 22, 2018
Creator: Romine, Kerry; Baker, Rose M. & Romine, Karla A.
System: The UNT Digital Library
What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity (open access)

What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity

Article describes how the authors present an analysis of eight measures used for quantifying morphological complexity of natural languages. The measures they study are corpus-based measures of morphological complexity with varying requirements for corpus annotation.
Date: September 22, 2022
Creator: Çöltekin, Çağrı & Rama, Taraka
System: The UNT Digital Library