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Record W7133088926

`Drink Like a Man': How Gender Roles Impact Alcohol Use Among Emerging Adults in Canada

2015· dissertation· W7133088926 on OpenAlexaffabout
Julia Michelle Hussman

Bibliographic record

VenueTSpace · 2015
Typedissertation
Language
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMasculinityFemininityConformityContext (archaeology)Affect (linguistics)Social environmentAlcohol consumptionGender role
DOInot available

Abstract

fetched live from OpenAlex

The current study examines how social constructions of masculinity and femininity affect alcohol behaviours among emerging adult men and women, given the recent trend in convergence (Greenfield, 2002) in which gender differences between rates of drinking have narrowed. Specifically, the impacts of gender role conformity and social context (i.e., drinking in same-gender or mixed-gender groups) on alcohol use and problems are examined among emerging adults in Canada. Several important domains of masculinity and femininity emerged as significant and positive correlates of alcohol outcomes, whereas other domains demonstrated negative relationships. Further, gender conformity variables were found to be significant correlates of drinking in various social contexts. Overall, the patterns of relationships were gender specific. Being a `playboy' (for men) and the desire to be thin and sexual fidelity (for women) were the most important correlates of alcohol outcomes. Implications of these findings are discussed from a feminist critical perspective.

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)0.002
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 score0.038
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.365
Teacher spread0.309 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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