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Record W2948619358

Gender and Alcohol: An Exploration of the Gendered World of Public Drinking Establishments

2018· article· en· W2948619358 on OpenAlexaffabout
Kailey Peckford

Bibliographic record

VenueStudent Research Proceedings · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsMacEwan University
Fundersnot available
KeywordsMasculinityFemininityEthnographySociologyFocus groupConsumption (sociology)Alcohol consumptionGender studiesHegemonic masculinitySocial psychologyPublic relationsPsychologyPolitical scienceSocial scienceAlcohol
DOInot available

Abstract

fetched live from OpenAlex

This presentation will outline a proposed study of bars, pubs, and clubs which are characterized by high levels of alcohol consumption and the gender dynamics that exists within them. In particular, the ways these settings and alcohol culture seem to heighten adherence to hegemonic masculinity and emphasized femininity will be explored. This ethnography will be conducted by observing public drinking establishments as well as using data from semi-structured interviews with bar patrons in Central Edmonton, Alberta. Previous literature highlights the way social conditions regarding gender relations have influenced dynamics in public drinking establishments historically. In particular, women have always had less social permission to drink and participate in this culture than men. Current literature demonstrates that social pressures informed by gender are still influential of such spaces, often in a negative way. This study will focus on subjective experiences of drinking culture in order to understand the pressures, risks, and benefits that exist first-hand. Discipline: Sociology (Honours) Faculty Mentor: Dr. Fiona Angus

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)0.002
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 score0.052
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0010.001
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 head0.348
GPT teacher head0.410
Teacher spread0.062 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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