MétaCan
Menu
Back to cohort
Record W4392001975 · doi:10.1177/08862605241229720

Prototypes of Hate and Expectations of the Model Victim

2024· article· en· W4392001975 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

VenueJournal of Interpersonal Violence · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsYork UniversityToronto Metropolitan University
Fundersnot available
KeywordsHuman factors and ergonomicsPoison controlPsychologySuicide preventionInjury preventionOccupational safety and healthSocial psychologyCriminologyMedical emergencyMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

This research explored the content of hate crime prototypes in a North American context, with particular attention to how such prototypes might influence blame attributions. In Study 1a, participants were recruited from a blended sample of universities ( n = 110) and community members ( n = 102) and asked to report their thoughts about typical hate crime offenses, victims, and offenders. These open-ended responses were coded, and common themes were identified. In Study 1b, a new group of participants ( n = 290) were presented with these themes and asked to rate each for their characteristics of hate crimes. Studies 1a and 1b confirmed the presence of a clear prototype of hate crimes, such that (a) perpetrators were believed to be lower status White men with clear expressions of bias, (b) hate crime offenses were believed to be acts of interpersonal violence accompanied by slurs or verbal abuse, and (c) hate crime victims were thought to be members of a marginalized group who remain passive during the offense. Study 2 explored the consequences of victim prototypes on assessments of victim blame. Participants ( n = 296) were recruited from York University and presented with a case vignette that varied the prototypicality of a victim of hate, depicting him as either Black or White and either passive, verbally responsive, or physically confrontational in the context of an assault. Participants showed greatest sympathy for the Black victim who passively ignored verbal harassment but increasingly assigned blame when the Black victim spoke or reacted physically. When the victim was White, participants showed little variation in their assessment of blame as a function of the victim’s behavior. These results suggest that Black victims are subjected to greater behavioral scrutiny than White victims and that sympathy for victims of hate may be contingent on their passivity in the face of harassment.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.125

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.021
GPT teacher head0.346
Teacher spread0.325 · 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