The Dirty Pint: Consumption Objects in Young People's Extreme Alcohol Consumption and Enactment of Self
Bibliographic record
Abstract
Purpose – To extend understanding of the rituals and practices of alcohol consumption through a focus on the consumption object (the Dirty Pint) as a central actant in the practices of extreme alcohol consumption.Design/methodology/approach – Seventeen paired and group interviews were conducted with young consumers (aged 16–18). An Actor-Network Theory (ANT)-inspired approach to data analysis was used in conjunction with Bourdieu's key concepts of habitus, field and capital to present a detailed understanding of the practices and rituals of extreme alcohol consumption.Findings – The same consumption object takes on a very different role and has different forms of agency, depending on the social space (field) in which it is embedded. The Dirty Pint acts differently within different social spaces or sub-fields of the field of adolescence, particularly when combined with individual subjects of differing habitus to produce an object+subject hybrid.Social implications – Paying attention to all the relevant actants (both human and non-human) involved in the practice of alcohol consumption could lead to more novel and relevant alcohol-harm reduction strategies or campaigns that young people can both relate to and take more seriously.Originality/value of paper – We stress the need to grant greater agency to objects in studying consumption practices and identity enactment and contribute to the literature on identity by extending Gergen's (2009) ‘relational being’, conceiving of the self as embedded in both inter-subjective and inter-objective interactions and relationships (Latour, 1996).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".