A big hole with the wind blowing through it: Aboriginal women's experiences of trauma and problem gambling
Bibliographic record
Abstract
Although studies have shown a link between social trauma and problem gambling (PG), there is little research involving Aboriginal women in this area, despite Aboriginal women being potentially at higher risk for both social trauma and problem gambling. This article describes the results of a qualitative phenomenology study asking seven Aboriginal women living in Western Canada to describe their experiences of social trauma and gambling problems. Results suggest four main themes, describing: (1) the Aboriginal women's experiences of social trauma (‘the three tigers’); (2) their use of gambling to cope with these experiences (‘a big hole with the wind blowing through it’); (3) their experience of problem gambling (‘I'm somebody today’); and (4) their process of healing from social trauma and gambling problems (‘a letter to John’). Participants described what they felt was a clear link between social trauma and problems with gambling, and how gambling helped to change their mood and block out the past. The results raise the possibility that Aboriginal women with gambling problems may need support to heal from social trauma – including racism and colonization – and that upstream initiatives to reduce the incidence of social traumas may be an important response to problem gambling among Aboriginal women.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.015 | 0.014 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 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".