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Record W2127066184 · doi:10.1177/0022022108326194

Stand by Your Man

2008· article· en· W2127066184 on OpenAlexaffabout
Joseph A. Vandello, Dov Cohen, Ruth Grandon, Renae Franiuk

Bibliographic record

VenueJournal of Cross-Cultural Psychology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHonorJealousyPsychologySacrificeSocial psychologyWifeLoyaltyFlirtingDemographySociologyPolitical scienceGeographyLaw

Abstract

fetched live from OpenAlex

Cultural values emphasizing female loyalty, sacrifice, and male honor may indirectly sanction relationship violence and reward women who remain in abusive relationships. Two studies compare participants from subcultures emphasizing honor (Latinos and southern Anglos in Study 1, Chileans in Study 2) and subcultures without strong honor traditions (northern U.S. Anglos in Study 1, Anglo-Canadians in Study 2). In Study 1, participants watch a videotape of a woman describing an abusive relationship. Participants from honor cultures are relatively more favorable to the woman if she stays in the relationship, compared to northerners. In Study 2, Chilean and Canadian students listen to audiotapes of a husband describing a violent conflict with his wife. Chileans rate the husband and his actions more positively than Canadians do when the conflict is jealousy related (perceived flirting), but no cultural differences are found when the conflict is unrelated to jealousy (spending too much money).

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.472
Threshold uncertainty score0.753

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0050.001
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.4720.325

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 head0.101
GPT teacher head0.500
Teacher spread0.399 · 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.

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

Citations140
Published2008
Admission routes2
Has abstractyes

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