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Record W3018039839 · doi:10.22215/etd/2014-10348

Educating the Jury: Mental Illness and Criminal Responsibility in the Canadian Courtroom

2014· dissertation· en· W3018039839 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsCarleton University
FundersUniversity of Oxford
KeywordsVerdictJuryPsychologyPerceptionCertaintyMental illnessStigma (botany)Social psychologyCriminologyMental healthPsychiatryPolitical scienceLaw

Abstract

fetched live from OpenAlex

This study explored juror stigma towards defendants with mental illness (MI), and examined the impact of education on juror decision-making in Not Criminally Responsible on account of Mental Disorder (NCRMD) cases in Canada. Four-hundred and eighty-six participants received two forms of education (MI or diabetes, and NCRMD or duress), read an NCRMD trial transcript in which the defendant's MI was manipulated, and provided a verdict (NCRMD or guilty), defendant perceptions, MI attitudes, and NCRMD attitudes. Continuous analyses revealed that MI and NCRMD education did not have a combined effect on defendant perceptions, MI stigma, or decision-making in NCRMD cases. Path analysis revealed that MI type was directly and indirectly related to guilt certainty via MI attitudes and defendant perceptions. However, NCRMD attitudes did not have an effect on verdicts. Results imply that MI attitudes are deeply ingrained in social and cultural norms and are not amenable to change despite education.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.393
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations3
Published2014
Admission routes2
Has abstractyes

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