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Gender Differences in Strain, Negative Emotions, and Coping Behaviors: A General Strain Theory Approach

2007· article· en· 245 citations· W2103813760 on OpenAlex· 10.1080/07418820701485486

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: QualitativeConsensus signal: Qualitative
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.412
Threshold uncertainty score
0.458
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.071
GPT teacher head0.362
Teacher spread
0.292 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

This paper empirically evaluates Broidy and Agnew’s propositions, in which they apply general strain theory to explain gender differences in crime and deviance, by analyzing data from a national survey of adult African Americans. First, African American women were more likely to report strains related to physical health, interpersonal relations, gender roles in the family, and less likely to mention work‐related, racial as well as job strain than African American men. Second, African American women were less likely than African American men to turn to deviant coping strategies when they experienced strain partly because their strains were more likely to generate self‐directed emotions, such as depression and anxiety, which in turn were less likely to lead to deviant coping behaviors than other‐directed, angry emotion. Finally, it was found that the self‐directed emotions were more likely to result in nondeviant, legitimate coping behaviors than other‐directed emotion, anger.

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.

The record

Venue
Justice Quarterly
Topic
Crime Patterns and Interventions
Field
Social Sciences
Canadian institutions
not available
Funders
Dalhousie University
Keywords
General strain theoryAngerPsychologyCoping (psychology)Deviance (statistics)Social psychologyAnxietyAfrican americanInterpersonal communicationClinical psychologyDevelopmental psychologySociologyPsychiatryJuvenile delinquency
Has abstract in OpenAlex
yes