Martha Sue Karnes Data-verified
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Researcher
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Biography and Research Information
OverviewAI-generated summary
Martha Sue Karnes' research investigates conflicts of interest and disclosure policies within biomedical research. Her work includes methodological reviews and content analyses of self-reported financial relationships to understand how these factors may influence research outcomes and reproducibility. Karnes has also explored the broader implications of research practices, including the role of games in academic work and the costs associated with developing research tools. Her publications address topics such as sample size considerations for natural language processing tasks and the intersection of medicine, games, and care. Karnes' scholarship includes a methodological review of stratified conflicts of interest policies and a content analysis of financial disclosures in biomedical research. She has published eight works and has a h-index of 3 with 53 citations.
Metrics
- h-index: 3
- Publications: 8
- Citations: 54
Selected Publications
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The New Woman and Visual Resistance: A Feminist Visual Rhetorical Analysis of Hard Labor (2026)
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Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study (2024)
Collaboration Network
Top Collaborators
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study
- Evidence for stratified conflicts of interest policies in research contexts: a methodological review
- A Content Analysis of Self-Reported Financial Relationships in Biomedical Research
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study (Preprint)
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study
- Evidence for stratified conflicts of interest policies in research contexts: a methodological review
- A Content Analysis of Self-Reported Financial Relationships in Biomedical Research
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study (Preprint)
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study
- Evidence for stratified conflicts of interest policies in research contexts: a methodological review
- A Content Analysis of Self-Reported Financial Relationships in Biomedical Research
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study (Preprint)
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study
- Evidence for stratified conflicts of interest policies in research contexts: a methodological review
- A Content Analysis of Self-Reported Financial Relationships in Biomedical Research
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study (Preprint)
- More than serious: Medicine, games, and care
- Archiving Our Own: The Digital Archive of Rhetoric and Composition at the University of Texas at Austin, 1975–1995
- The Costs of Purposeful Games: When Building a Tool Means Building a Market
- Evidence for stratified conflicts of interest policies in research contexts: a methodological review
- A Content Analysis of Self-Reported Financial Relationships in Biomedical Research
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study (Preprint)
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study (Preprint)
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study
- Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study (Preprint)
- Evidence for stratified conflicts of interest policies in research contexts: a methodological review
- Archiving Our Own: The Digital Archive of Rhetoric and Composition at the University of Texas at Austin, 1975–1995
- Archiving Our Own: The Digital Archive of Rhetoric and Composition at the University of Texas at Austin, 1975–1995
- Archiving Our Own: The Digital Archive of Rhetoric and Composition at the University of Texas at Austin, 1975–1995
- Archiving Our Own: The Digital Archive of Rhetoric and Composition at the University of Texas at Austin, 1975–1995
- Archiving Our Own: The Digital Archive of Rhetoric and Composition at the University of Texas at Austin, 1975–1995
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