Teaching Remedial Problem-Solving Skills to a Law School's Underperforming Students
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article describes a course called the "Art of Lawyering" developed by the Texas A&M University School of Law to help the bottom quarter of the 2L class develop the critical-thinking and problem-solving skills they should have learned in their first year of law school. Students in the bottom quarter of the class at the beginning of their 2L year are most at risk for failing the bar exam after graduation. The Art of Lawyering gives these students the structural framework necessary to solve problems like a lawyer, improve their performance in law school, and pass the bar exam. The course, in its current iteration, is remarkably effective, producing a significant increase in students' grade-point averages. This article describes the theory, methods, and resources behind the course, and it includes a detailed lesson plan so that other schools can replicate the course and realize similar success.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it