A Critical Analysis of Interventions for Women Harmed by Others’ Gambling
Bibliographic record
Abstract
At present, gambling studies literature has multiple understandings of family and others affected (FAOs) by gambling harm and their support needs in play, each with different possibilities and constraints for harm reduction engagement with women. Individual psychological approaches have been privileged, eschewing the social and relational situation of gambling and harm in women’s lives. In Australasia, the majority of those seeking support in relation to a significant others’ gambling are women. Gender has been posited as a shaping force in the social stratification system, distribution of resources, and gambling and harm within society. There has been minimal engagement with the lived experiences of FAOs, which limits gambling harm reduction service development and planning. This research critically engaged with gambling harm reduction studies for FAOs, alongside interviews with eight women FAOs who presented to community services from a social constructionist perspective. The aim was to provide insight into how women FAOs position themselves and their support needs in relation to gambling harm and recovery. Data was analysed using thematic analysis informed by feminist poststructuralist theories of language. Results suggested that this small group of women were subject to intersecting patriarchal constraints and economic determinants of gambling harm. Powerful normative and moral constructions of ‘good/bad’ mothers operated to individualise some women’s responsibility for addressing harm in families and to alienate these women from gambling support services. These findings suggest that gambling services must support women and families in ways that go beyond personal functioning, extending into the social and political conditions of possibility for harm and recovery. Critical psychology and coherent gender analysis may offer opportunities to expand the role of gambling support to include advocacy, community development, and more client-led and gender-aware practice with women affected by gambling harm.
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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 | 0.024 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.018 | 0.018 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".