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Record W3198264010 · doi:10.22215/etd/2016-11576

Aboriginal Canadians in the Courtroom: Effects of Defendant and Eyewitness Race on Juror Decision-Making in a Criminal Trial

2016· dissertation· en· W3198264010 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
Fundersnot available
KeywordsEyewitness identificationPsychologyVerdictEyewitness testimonyJuryCredibilityRace (biology)CriminologyWhite (mutation)DeceptionSocial psychologyLawPolitical scienceSociology

Abstract

fetched live from OpenAlex

Negative stereotypes, some concerning alcohol use, about Aboriginal Canadians permeate Canadian society. This study explored whether racial bias affects jurors' perceptions of Aboriginal Canadian eyewitnesses, particularly when the eyewitness was intoxicated during the crime, as well as the effect of defendant race. Participants read a trial transcript in which eyewitness intoxication and both eyewitness/defendant race (Aboriginal Canadian/White) were manipulated, provided a verdict, and responded to a series of questions about the eyewitness. Although sober witnesses were perceived more favourably than intoxicated witnesses, intoxication had no effect on verdicts. Participants rated Aboriginal eyewitnesses as more accurate than White eyewitnesses, with no differences in credibility or deception. Finally, there was no effect of defendant race on verdicts. Although this study failed to demonstrate a convincing effect of racial bias, further work must be conducted in order to ensure that all citizens are subject to a fair trial by an impartial jury.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.388
Teacher spread0.375 · 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

Citations2
Published2016
Admission routes2
Has abstractyes

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