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Record W3084860634 · doi:10.1177/0165025420949690

Honor, face, and dignity norm endorsement among diverse North American adolescents: Development of a Social Norms Survey

2020· article· en· W3084860634 on OpenAlexaffabout
Karin S. Frey, Adaurennaya C. Onyewuenyi, Shelley Hymel, Randip Gill, Cynthia Pearson

Bibliographic record

VenueInternational Journal of Behavioral Development · 2020
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Justice
KeywordsHonorShamePsychologyPrideSocial psychologyNormativeDignityNorm (philosophy)Social identity theorySocial groupLaw

Abstract

fetched live from OpenAlex

This article examined the psychometric properties and validity of a new self-report instrument for assessing the social norms that coordinate social relations and define self-worth within three normative systems. A survey that assesses endorsement of honor, face, and dignity norms was evaluated in ethnically diverse adolescent samples in the U.S. (Study 1a) and Canada (Study 2). The internal structure of the survey was consistent with the conceptual framework, but only the honor and face scales were reliable. Honor endorsement was linked to self-reported retaliation, less conciliatory behavior, and high perceived threat. Face endorsement was related to anger suppression, more conciliatory behavior, and, in the U.S., low perceived threat. Study 1b examined identity-relevant emotions and appraisals experienced after retaliation and after calming a victimized peer. Honor norm endorsement predicted pride following revenge, while face endorsement predicted high shame. Adolescents who endorsed honor norms thought that only avenging their peer had been helpful and consistent with the role of good friend, while those who endorsed face norms thought only calming a victimized peer was helpful and indicative of a good friend. Implications for adolescent welfare are discussed.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.675

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 head0.127
GPT teacher head0.376
Teacher spread0.250 · 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 teacher head, 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

Citations10
Published2020
Admission routes2
Has abstractyes

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