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Record W2188899640 · doi:10.22215/etd/2013-10045

The Impact of Socio-cultural Issues on Mature Women and Alcohol Use in Glasgow, Scotland: An Anthropological Exploration

2013· dissertation· en· W2188899640 on OpenAlexaff
Angeline Jones

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsCarleton University
Fundersnot available
KeywordsConsumption (sociology)Alcohol consumptionInterviewContext (archaeology)PoliticsGender studiesParticipant observationAffect (linguistics)MedicinePsychologySociologyPolitical scienceGeographyAlcoholSocial scienceAnthropology

Abstract

fetched live from OpenAlex

This thesis explores the connection between women's health and alcohol consumption in Glasgow, Scotland.The purpose of the project is to investigate how social, economic and other factors affect women's alcohol consumption, and whether or not female alcohol consumption has a direct effect on women's ill-health in Glasgow, Scotland.The data gleaned from participant observation and semi-structured interviewing of thirteen Glaswegian women provide evidence that female alcohol consumption is inseparable from issues of gender, identity, class, and power.The data will be examined using three unique levels of analysis: the individual, the societal, and the institutional.Such an examination helps to capture the lived reality of Glaswegian women.Furthermore, it situates women's alcohol use in the contemporary context of Scotland's political economy.Finally, the thesis concludes with a discussion of women's alcohol use in Glasgow and its connection to the 'Glasgow Effect'.explain this 'effect', including internal migration patterns, problems with the methodologies used to capture all aspects of socio-economic deprivation, genetic factors, lack of vitamin D, possible family breakdown and some aspects generally attributed to Scottish culture (Ibid; Bloor, et al. 2008;Popham et al. 2011).It is this last factor which will help frame the subject matter of my research project: Scottish culture and alcohol consumption.Seaman and Edgar (2012) note in their study of youth drinking behaviours and gender, that Scotland has a recent history of attempting to address the nation's relationship with alcohol.This is due, in part, to the fact that alcohol related deaths have doubled in the country in the past 15 years, thereby making alcohol issues a priority for the Scottish Government (Ibid: 7).There has also been a rise in the rate of young men and women's alcohol consumption in the country over the past few decades (Ibid: 8).The rise in women's drinking is not a phenomenon that is specific to Scotland, however, but one that is being seen across many Western countries such as New Zealand, England, the United States and multiple countries in Europe (Gordon et al. 2012;Lyons & Willott 2008;Rudolfsdottir & Morgan 2009;Thom 1997;Zilberman et al. 2008).Changing patterns in female drinking is an area of study that may provide insight into women's well-being and health within the Scottish context, and may reveal social and cultural factors that contribute to the poor health outcomes found in the West of Scotland.This chapter provides information regarding the significance of the research, its scope and limitations, a detailed project description, a discussion of the methodologies used, a brief history of Glasgow, and an introduction to the participants who volunteered to be interviewed for this project.The chapter concludes with a brief description of the subsequent chapters.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.013
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.055
GPT teacher head0.389
Teacher spread0.334 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

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