To be the Open University for the Unites States: UMUC' s New Mission An Interview with Dr. Eugene Rubin
Bibliographic record
Abstract
Editorial: Dr. Rubin is the Chair of Master Program of Distance Education at Graduate School of Management and Technology, University of Maryland University College. He had formally been in the Graduate Faculty at Athabasca University in Canada for twelve years. He has a broad background in distance education and training, educational technology, instructional design, and course development and delivery. The online MDE program chaired by him has won several honorary awards, including 2003 UCEA award for Program of Excellence within the Distance Education Community of Practice and 2003 Sloan-C Most Outstanding Online Teaching Learning Program. And UMUC has also won the ICDE Prize of Excellence for Institutions at ICDE 21st world conference in February, 2004.
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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 | 0.011 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.004 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.020 | 0.025 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".