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Record W3085748981 · doi:10.1080/13218719.2020.1793819

Jury decision-making: the impact of engagement and perceived threat on verdict decisions

2020· article· en· W3085748981 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.

Bibliographic record

VenuePsychiatry Psychology and Law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsYork University
Fundersnot available
KeywordsVerdictJuryPsychologyConvictionConservatismSocial psychologyPerceptionPoliticsBiology and political orientationRelevance (law)Political scienceLaw

Abstract

fetched live from OpenAlex

The present study examined the role of political orientation and task engagement in juror decision-making. The study was conducted as a 2 (mode: laboratory versus online) × 2 (role: juror, observer) × 3 (evidence: admissible, inadmissible, control) between-subjects experiment, with participants (N = 157) recruited from a mid-sized Australian university. Findings supported our predictions that political conservatism is associated with convictions, and that university students endorse a wide range of political orientations. Participants who were more engaged in the study perceived more threat in the defendant, and threat, in turn, led to higher conviction rates; furthermore, the effect of participation mode on verdict decisions was completely mediated by perceptions of the threat posed by the defendant. Findings are discussed in terms of their implications for jury decision-making research and its relevance to actual juror decisions.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.064
GPT teacher head0.424
Teacher spread0.359 · 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