Expert of the Month: Dr. Anne Rentfro
Bibliographic record
Abstract
Dr. Anne Rentfro is an Associate Professor of Nursing in the College of Nursing at The University of Texas at Brownsville. She has taught Leadership in Professional Nursing, Promotion in Professional Nursing, Perspectives in Professional Nursing Practice and Transcultural Nursing since she joined UTB in 1990. Rentfro has received funding from The University of Texas BorderPlex Diabetes Project, the National Center on Minority Health and Health Disparities and Center for Disease Control and Prevention to fund her research interests in diabetes mellitus and evidence based practice in health belief patterns and chronic illness. Rentfro has authored or co-authored papers for the peer-reviewed journals "The Journal of Men's Health," "Preventing Chronic Disease" and "Nurse Practitioner." Rentfro has presented at UTB's annual Nursing Research Conference, the Western Institute of Nursing's Communicating Nursing Research Conference in Portland, Ore. and the 17th International Nursing Research Congress Focusing on Evidence-Based Practice in Montreal, Canada. Rentfro, a native of upstate New York, has a bachelor's degree in nursing from the University of Rochester in New York, a master's degree in nursing from The University of Texas at Austin and a doctorate degree in nursing from the University of Arizona. Before coming to UTB, Rentfro was a Nursing Instructor at The University of Texas -- Pan American in Edinburg and a Research Assistant, Teaching Assistant and Clinical Instructor at The University of Texas at Austin. She has also been an Education Department Director and Intensive Care Department Director at Valley Regional Medical Center in Brownsville. Learn more about Dr. Rentfro's research in this month's Expert of the Month. To contact Dr. Anne Rentfro, call 956-882-5084 or anne.rentfro@utb.edu.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".