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Record W4413856483 · doi:10.1177/23780231251369154

Unveiling the Gender Gap in Alcohol Misuse: Fear, Anger, and the “Game of Secrets”

2025· article· en· W4413856483 on OpenAlexaff
Colter J. Uscola

Bibliographic record

VenueSocius Sociological Research for a Dynamic World · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAngerPsychologyCriminologySocial psychologyComputer securityPsychiatryComputer science

Abstract

fetched live from OpenAlex

Gender scholars often assume that alcohol misuse is representative of hegemonic masculinity, but women are simultaneously consuming rates and quantities that parallel those of men. To focus on the gender dynamics of alcohol misuse, the author interviewed 16 members of a metropolitan 12-step recovery community. The findings show how persistent marginalization and trauma contribute to two painful emotions, fear and anger, that influence doing gender through alcohol use. As women and men come to anticipate rejection or harm, they develop a fear of social interactions yet resist painful experiences in divergent ways. Women used alcohol (1) to carve out social mobility and status in spaces previously closed to them; (2) to manage social anxiety, fear, and anger rooted in trauma and marginalization; and (3) to challenge or reshape expectations of femininity by forming hybrid femininities of high expectations. Men used alcohol (1) to accept roles of low status; (2) to manage fear, anger, and emotional suppression tied to past trauma and marginalization; and (3) to construct hybrid masculinities of low expectations that resisted the hegemonic ideals they were socialized into. These findings challenge foundational gender research that links heavy consumption to hegemonic masculinity and inform alcohol research and public health policy.

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)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.314
GPT teacher head0.581
Teacher spread0.267 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueSocius Sociological Research for a Dynamic WorldSame topicHomelessness and Social IssuesFrench-language works237,207