Evaluating the comprehensibility of jury instructions: A method and an example.
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
Methodological problems in jury simulation research involve issues of sampling, choice of stimulus materials, appropriate unit of analysis, appropriate dependent variable, corroborative data, and problems of role playing. Despite these issues, comprehension of jury instructions may be suitable for examination by jury simulation techniques--if certain of these methodological concerns can be satisfied. In a series of 5 experiments using typical Canadian legal instructions on criminal conspiracy and the coconspirator exception to the hearsay rule, this study attempted to validate a simple and inexpensive technique for testing the incomprehensibility of a given set of jury instructions by requiring participants to apply those legal instructions to a set of facts. The results demonstrate the utility of an application test, and suggest that for assessing the comprehensibility of jury instructions, it may be acceptable to use undergraduate students as participants, to use individual participants without group deliberation, and to employ written stimulus materials.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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