MétaCan
Menu
Back to cohort
Record W2136115187 · doi:10.1177/0165025408089270

Modalities of anger expression and the psychosocial adjustment of early adolescents in eastern Cuba

2008· article· en· W2136115187 on OpenAlexaff
Yuri Arsenio Sanz Martínez, Barry H. Schneider, Yorkys Santana González, María del Pilar Soteras del Toro

Bibliographic record

VenueInternational Journal of Behavioral Development · 2008
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAngerPsychologyExpression (computer science)PsychosocialDevelopmental psychologyCollectivismClinical psychologySocial psychologyPsychotherapistIndividualism

Abstract

fetched live from OpenAlex

Culture influences the acceptability of the overt expression of anger. In many cultures, overt expression of anger is considered legitimate for males but not for females. We explored the implications of anger expression among early adolescents in Cuba, expecting that overt, explosive expression of anger would be particularly maladaptive in a society that is collectivistic by virtue of both its cultural heritage and ideology. Given the sharp gender-role distinctions in traditional Latin American society, we expected to find more overt expression of anger by males. However, the analyses revealed no significant gender differences in anger expression. Overt expression of anger was significantly associated with multiple measures of maladjustment. Evidence that the inhibition of anger is associated with maladjustment was not as consistent, but holding anger in was linked with internalizing difficulties. Sociometric data indicated that early adolescents who demonstrate control of their anger are highly accepted and considered as leaders.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.323
Teacher spread0.281 · 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

Citations6
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Behavioral DevelopmentSame topicChild and Adolescent Psychosocial and Emotional DevelopmentFrench-language works237,207