Sociocultural contexts of alcohol use among mothers: a scoping review
Bibliographic record
Abstract
Mommy wine culture (MWC) refers to the acceptance and celebration of using alcohol to cope\nwith parenting struggles, which has been perpetuated on social media through memes,\n#winemom posts, and commercial products since the early 2010s. While initially viewed as a\nlight-hearted critique of the stresses of modern, intensive motherhood, media is increasingly\ncritical of MWC for normalizing alcohol use and contributing to increasing drinking among\nwomen in recent decades. However, it is unclear to what extent increases in drinking among\nwomen is attributed to mothers, suggesting that concern and scrutiny aimed at mothers’\ndrinking may be misplaced, and potentially add to the stigma mothers face who are\nexperiencing addiction. During the pandemic, Canadian mothers have experienced intensified\nparenting challenges, which may be contributing to increased alcohol use. Given the\nincreasing pressures to be ideal mothers, the historical role of media in contributing to harmful\nmaternal stereotypes (e.g. “mommy wars”, “welfare queen”, etc.), and the overall lack of\nresearch about alcohol use among mothers outside of pregnancy and breastfeeding, this\ntopic is rife for exploration using a critical feminist lens. The importance of this has only been\namplified by the pandemic.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.809 | 0.971 |
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; both teacher heads agree on what is shown here.
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".