Gabriella Coloyan Fleming
Biographic Data
| ID | 8682950 |
|---|---|
| NAME | Gabriella Coloyan Fleming |
| GIVEN NAMES | Gabriella Coloyan |
| FAMILY NAME | Fleming |
| SIGNATURE | FLEMING G C |
| AFFILIATIONS | Virginia Tech |
| ORCID | 0000-0002-6771-8741 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Thematic analysis with open-source generative AI and machine learning
This work aims to answer one central question: to what extent can open-source generative text models be used in a workflow to approximate steps in thematic analysis in social science research? To answer this question, we present the Generative AI-enabled Theme Organization and Structuring (GATOS) workflow, which uses open-source machine learning techniques, natural language processing tools, and generative text models to facilitate aspects of the…
Agentic Actions and Agentic Perspectives Among Fellowship-Funded Engineering Doctoral Students
In the US and Europe, institutions, foundations and governments invest significant financial resources in doctoral fellowships. Unlike other graduate funding mechanisms, fellowships are typically not tied to specific projects or job responsibilities and thus may afford more agency to students. We examined how fellowship funding contributes to or undermines agency of doctoral student recipients. We interviewed 23 US engineering doctoral students p…
Synergistic organizational influences
A majority of engineering postgraduate students (Master’s and PhD) enter into jobs in industry, government, and non-profit organizations. However, most postgraduate programming is geared toward careers in academia. Our study examines how universities prepare engineering postgraduate students for careers outside of academia. We draw on interview data with administrators across 11 institutions and leverage an existing framework for organizational i…
Seed Grant Programs to Promote Community Transformation in Higher Education Institutions
Used in higher education for many decades, seed grants are now beginning to be applied as a strategy to advance diversity, equity and inclusion goals, including rebuilding community post-pandemic. There is little research on the effectiveness of seed grants for such communal goals. This work is innovative in two key ways. First, these seed grants focus on promoting a strong sense of community at the institution rather than promoting individual in…
No prominent works on this page.
Seed Grant Programs to Promote Community Transformation in Higher Education Institutions
Used in higher education for many decades, seed grants are now beginning to be applied as a strategy to advance diversity, equity and inclusion goals, including rebuilding community post-pandemic. There is little research on the effectiveness of seed grants for such communal goals. This work is innovative in two key ways. First, these seed grants focus on promoting a strong sense of community at the institution rather than promoting individual in…
Agentic Actions and Agentic Perspectives Among Fellowship-Funded Engineering Doctoral Students
In the US and Europe, institutions, foundations and governments invest significant financial resources in doctoral fellowships. Unlike other graduate funding mechanisms, fellowships are typically not tied to specific projects or job responsibilities and thus may afford more agency to students. We examined how fellowship funding contributes to or undermines agency of doctoral student recipients. We interviewed 23 US engineering doctoral students p…
Synergistic organizational influences
A majority of engineering postgraduate students (Master’s and PhD) enter into jobs in industry, government, and non-profit organizations. However, most postgraduate programming is geared toward careers in academia. Our study examines how universities prepare engineering postgraduate students for careers outside of academia. We draw on interview data with administrators across 11 institutions and leverage an existing framework for organizational i…
Thematic analysis with open-source generative AI and machine learning
This work aims to answer one central question: to what extent can open-source generative text models be used in a workflow to approximate steps in thematic analysis in social science research? To answer this question, we present the Generative AI-enabled Theme Organization and Structuring (GATOS) workflow, which uses open-source machine learning techniques, natural language processing tools, and generative text models to facilitate aspects of the…
Doctoral Education Challenges and Solutions (2 works) · Graduate students (2 works) · Higher education (2 works) · Higher Education and Employability (2 works) · Career development (1 work) · Codebook (1 work) · Computational and Text Analysis Methods (1 work) · Earthquake and Disaster Impact Studies (1 work) · Economic growth (1 work) · Economics (1 work)