Mores of Addiction: Alcohol, Femininity, and Social Transformation in Western Ukraine
Bibliographic record
Abstract
Since the Austro-Hungarian and Tsarist eras, men’s intoxication has been deemed ‘masculine’ and women’s sobriety ‘feminine’ in western Ukraine; however, these ideologies are being rewritten to fit the new, post-socialist environment and to underscore a divergence from the Soviet past. While men are judged based on their ability to function after imbibing copious amounts of alcohol, women are explicitly expected to embody two stereotypes: the ‘Berehynia’ (a recently reformulated goddess of family and nation) and the ‘Barbie’ (a more globally-informed image). Digression from the ‘Barbie’ model is used as evidence to render public diagnoses of addiction, while the ‘Berehynia’ model underscores the sentiment that “we are not allowed to be weak.” Women are expected to be stronger than men; indeed, women are widely regarded as the carriers of morality. While men’s addiction is often met with sympathy – and linked to a presumed, inherent inability to cope with social, political and economic upheaval – addicted women are deemed to have consciously abandoned their femininity, their families, and their nation. These ideologies deeply affect the experiences of addicted people. In particular, women’s addiction is severely stigmatized, and they are extremely reluctant to “confess” and seek treatment. Based upon 14 months of ethnographic fieldwork, this thesis explores the gendered conceptualizations of ‘moral’ and ‘immoral’ that are being formulated with respect to drinking and addiction, and how these concepts inform the variety of addiction treatments that are available. In so doing, this analysis illuminates what is at stake for both the stigmatizers and stigmatized, and more specifically, the multiple ways that gender, drinking, and addiction have become implicated in constructions of the Ukrainian nation and state.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".