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Record W2138306780 · doi:10.1177/088626001016007003

Rough Justice

2001· article· en· W2138306780 on OpenAlexaff
Stephen W. Baron, David R. Forde, Leslie W. Kennedy

Bibliographic record

VenueJournal of Interpersonal Violence · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsQueen's University
Fundersnot available
KeywordsAggressionPopulationPsychologyCriminologyPoison controlSocial psychologyEconomic JusticeHuman factors and ergonomicsSuicide preventionInjury preventionSociologyPolitical scienceDemographyMedical emergencyLawMedicine

Abstract

fetched live from OpenAlex

This article explores the conflict management styles of homeless male street youth and young males from the general population. Findings indicate that street youths are more likely to demand reparation from people they perceive have harmed them and are more willing to use aggression to settle disputes. They also hold subcultural values that leave them more likely to become upset and use aggression in disputes. These youth are less influenced by conflict intensity when compared to males from the general population and are more sensitive to attacks by equals. In contrast, the behavior of young males from the general population is not predicted by cultural values that support violence. Instead, males from the general population require intense conflict before they become upset, demand reparation, and use aggression to settle disputes. Findings are discussed in terms of the expectations that actors in different structural locations bring to social interactions.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.146
Threshold uncertainty score0.489

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0060.002
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1460.031

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 head0.049
GPT teacher head0.388
Teacher spread0.339 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations44
Published2001
Admission routes1
Has abstractyes

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