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Record W2058000272 · doi:10.1002/ab.1012

Calming troubled waters: Peacemakers in a sports riot

2001· article· en· W2058000272 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

VenueAggressive Behavior · 2001
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsPsychologySet (abstract data type)Social psychologyPersonalitySuicide preventionHuman factors and ergonomicsPoison controlInjury preventionVariance (accounting)Clinical psychologyMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Abstract This investigation sought to identify a set of measures predictive of those who would intervene in a crowd disturbance with the intent of restoring order. Male participants (N = 74) completed a battery of social and personality measures. Men who had previously attempted to break up a fight(s), including those who had recently intervened and judged their efforts to have been successful, were most likely to step in. Additionally, peacemakers were subject to the false consensus effect and strongly believed in law and order. A multiple regression analysis yielded a solution that accounted for 40.3% of the variance, with previous experience as a peacemaker and attitudes toward law and order emerging as the best predictors. Aggr. Behav. 27:292–296, 2001. © 2001 Wiley‐Liss, Inc.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.998

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)0.0030.000

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 head0.025
GPT teacher head0.315
Teacher spread0.290 · 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