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Record W4237698400 · doi:10.22215/etd/2014-10529

The Role of Defendant Race and Racially Charged Media in the Canadian Courtroom

2014· dissertation· en· W4237698400 on OpenAlex
Laura McManus

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
Fundersnot available
KeywordsRace (biology)Salience (neuroscience)VerdictAttributionPsychologyWhite (mutation)SalientSocial psychologyCriminologyRacial biasPolitical scienceLawSociologyGender studies

Abstract

fetched live from OpenAlex

This study sought to examine the influence of defendant race and racially charged media on Canadian mock jurors' trial decisions. Two-hundred and ten participants read a racially charged or racially neutral article followed by a trial transcript involving a White, Black, or Aboriginal-Canadian defendant. Diverging from previous findings, this study did not find an effect of defendant race or race salience on verdict judgements or causal attributions. Rather, it demonstrated that when race is not a central feature to the case, making race salient may actually increase levels of racial bias for some mock jurors. The implication of this research largely appears to be that race salience affects Canadian and American mock jurors differently. Potential explanations and further implications for these unexpected findings 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 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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score0.747

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.013
GPT teacher head0.310
Teacher spread0.298 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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