Convenient consumption: a critical qualitative inquiry into the gambling practices of younger women in Australia
Bibliographic record
Abstract
There are a range of stereotypes and assumptions associated with women's gambling behaviours. While researchers have demonstrated that the practices associated with women's gambling are changing and becoming increasingly normalized, there is a limited understanding of how younger women ascribe meanings to these practices. This study explored the gambling practices of younger women. Forty-one women (20-40 years) participated in qualitative telephone interviews. Participants were asked open-ended questions about personal engagement in gambling, including experiences of gambling, gambling engagement, and experiences with different gambling products and environments. Data interpretation was guided by reflexive thematic analysis. Three themes were constructed from the data: (i) gambling infrastructures, including both products and the embedding of gambling in community environments, contributed to the convenient and regular consumption of gambling, with gambling easy to access and engage with; (ii) social networks and intergenerational gambling practices impacted the perceived social value and competencies related to gambling; and (iii) technology facilitated new gambling practices, routinizing gambling behaviours through automation and building perceived competencies with a range of gambling products. Gambling regulation and public health responses to gambling often focus on either individual behaviours or product characteristics. This study suggests that this focus is too narrow and excludes important influences on younger women's gambling practices, which include the infrastructure that supports the provision and consumption of gambling products. Public health research, policy and practice must consider the full range of determinants that may contribute to the initiation and continuation of gambling in younger women.
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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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".