La Royce Batchelor receives first Clifford Entrepreneur Fellowship
Bibliographic record
Abstract
La Royce Batchelor is the first recipient of the Tom and Gayle Clifford Entrepreneurship Fellowship at the University of North Dakota. Batchelor is an alum of UND’s communications program and an instructor in the College of Business and Public Administration’s (CoBPA’s) entrepreneurship program. She is completing at UND a Ph.D. in Educational Leadership with a focus in entrepreneurship. Batchelor teaches innovation and entrepreneurial communication in the CoBPA Entrepreneurship Department and also works at the Center for Innovation Foundation, aiding primarily with fund raising, communication, and student engagement in entrepreneurship. Her research focuses on the pedagogy of classroom management and student engagement; she also conducts research on innovation and creativity. Batchelor is a 1991 graduate of UND in speech and received a Master of Arts degree in political and cultural communication in 1993. She has been teaching for 20 years, including the last 15 at Red River College in Winnipeg. Batchelor also teaches Shotokan Karate for the UND Karate Club. She is an alum of Kappa Alpha Theta and plans to be an advisor to the group after completing her Ph.D. She has started four businesses since she was a teenager, showing her entrepreneur spirit. About the Tom and Gayle Clifford Entrepreneur Fellowship The Tom and Gayle Clifford Entrepreneur Fellowship was established by a gift from Tom and Gayle Clifford in 2009 to the UND Center for Innovation Foundation. The endowment was set up to support up and coming entrepreneur-minded leaders on campus who wish to build innovative programs on campus. Tom Clifford--a Langdon, N.D., native, a decorated World War II veteran, and president of UND from 1971 to 1992--was well known to support campus entrepreneurs who were innovative, courageous, and possessed uncommon energy. Clifford supported the launch of the UND Center for Innovation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.226 | 0.102 |
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 source (direct Gemma or distilled Codex), 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".