School of Law named nation’s best value for fifth time in seven years
Bibliographic record
Abstract
For the fifth time in seven years, the University of Georgia School of Law has been named the nation’s Best Value in legal education. Last year, UGA occupied the top spot in the National Jurist ranking and, from 2018 to 2020, enjoyed a historic three-peat in the number one position. "Our vision is to redefine what it means to be a great national public law school: Offering a world-class, hands-on, purpose-driven education, while striving to be the best return on investment in legal education,” School of Law Dean Peter B. ”Bo” Rutledge said. “And, we measure our success with the return determined by quality jobs and successful bar exam passage for our graduates and the investment defined by various measures of student debt.” Proof points include: 95% of the Class of 2023 in Full Credit Employment Outcomes within 10 months of graduation (full-time, long-term, bar pass required/J.D. advantage jobs plus enrollment in graduate studies). Near perfect Ultimate Bar Passage Rate for Class of 2021 – 99.48% passage for those who sat for the bar within two years of graduation across 20 jurisdictions. Student borrowing has plummeted by more than $8.2 million (54%) since 2013. For the 2023-24 academic year, 50% of students did not borrow. For 2022-23, 92% of students received financial aid. Additionally, 100% of first-generation college graduates and veterans receive aid. Recently, the School of Law announced that every student in these cohorts would be guaranteed at least a quarter scholarship, with some students receiving a full-tuition plus scholarship. Extremely competitive tuition and fees (the lowest among the Top-20 law schools ranked by U.S. News & World Report). "Our school’s sustained success has been made possible by so many – President Jere W. Morehead (J.D.’80); our alumni, alumnae and friends; our faculty and staff; and our students. Thank you all for your support!" Rutledge said. "Together, we are making the dream of a legal education more accessible and empowering our students to decide how they will serve state and society. They will make those choices based on their passions, not their debt loads,” he continued. “In short, we are redefining what it means to be a great national public law school,” Rutledge said.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.185 | 0.083 |
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".