Juror decision-making concerning defendants with mental health conditions – a systematic review of experimental studies
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 systematic review explores the methodological characteristics, features and findings of empirical research adopting an experimental mock juror design to investigate legal decision-making regarding defendants with mental health conditions. A systematic search was conducted using MEDLINE, CINAHL, PsycINFO, PsyArticles and Web of Science, with thirty-two eligible studies included within the final review. Study quality was assessed using the Appraisal Tool for Cross-Sectional Studies (AXIS). All studies were conducted across the United States and Canada, with the exception of one conducted in the United Kingdom. Studies varied significantly in their aims, sampling, variables manipulated and other methodological characteristics. Many effects were reported as non-significant, although a range of significant aggravating and mitigating effects were found in relation to the effect of different diagnostic terms, types of evidence presented and other defendant or participant characteristics on mock jurors’ verdict and sentencing decisions. Inconsistencies in direction of effect were found even amongst the higher quality studies. Strengths, limitations, and recommendations for future research are discussed.
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) | 0.001 | 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