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Record W3118573785 · doi:10.22215/etd/2016-11602

Eyewitness Factors Influencing the Mock Juror Decision-making Process: Age, Familiarity, and Social Support

2016· dissertation· en· W3118573785 on OpenAlex
Eropa Stein

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

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsCarleton University
Fundersnot available
KeywordsWitnessPsychologyCredibilitySocial psychologyEyewitness identificationPerceptionSocial supportDevelopmental psychologyLawPolitical science

Abstract

fetched live from OpenAlex

Mock jurors (N = 281) read a trial transcript of an armed robbery at a convenience store. The transcripts varied by eyewitness age (10, vs. 15, vs. 20-years-old), degree of witness-perpetrator interaction (i.e. familiarity), and the degree of social support experienced by the witness during the crime (demonstrated through the presence/absence of a supportive figure such as a mother (i.e. high vs. low social support). The influence of these variables on jurors' perceptions of eyewitness' credibility, reliability, and accuracy as well as the decision of defendant's guilt, were investigated. The presence of social support influenced jurors' decisions regarding the defendant's guilt, where jurors in the low social support condition (i.e. alone) compared to the high social support condition (i.e. with mother) were nearly twice as likely to conclude that the defendant was not guilty. No significant group differences were found among the other factors; namely, eyewitness age and familiarity.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.391
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

Citations0
Published2016
Admission routes1
Has abstractyes

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