100% of first-gen college graduates receive aid
Bibliographic record
Abstract
With more than 75 first-generation college graduates currently earning their Juris Doctor at the School of Law, we are pleased to share that 100% of them are receiving aid. This cohort is currently supported by approximately 25 scholarship funds, including the First-Start Scholars Program established by 1982 alumna Kathelen V. Amos and the Daniel P. Amos Family Foundation. This initiative has grown from first-generation students in the 2019 J.D. entering class receiving a scholarship to every first-gen J.D. student getting aid for the fourth year in a row. Starting this fall, the First-Start Scholars Program now bears a new name – the Rutledge Family First-Start Scholars Program, and awards range from the equivalent of a one-quarter scholarship to a full-tuition plus scholarship. The School of Law is redefining what it means to be a great national public law school by offering a world-class, hands-on, purpose-driven educational experience with a pioneering commitment to accessibility and affordability, according to School of Law Dean Peter B. “Bo” Rutledge. Some recent statistics supporting this statement include: #1 Best Value Law School for five of the last seven years (National Jurist, 2018-24). Top-20 Law School for two years in a row (U.S. News & World Report, 2023/24 & 2024/25). Near perfect Ultimate Bar Passage rate (99.48% for the Class of 2021). 95% Full Credit Employment Outcomes (Class of 2023). 18 clinics and externships, with 91% participation (Class of 2024). For 2023-24, 50% of students did not borrow. Extremely competitive tuition and fees (the lowest among the Top-20 law schools ranked by U.S. News & World Report). Pictured above are First-Generation Law Student Association leaders (l. to r.) Vice President Gordon Wayne, Secretary Carsen Christy, Alumni Relations Chair Justin Davenport and President Rosalie Vendrell.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.089 | 0.036 |
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".