Bibliographic record
Abstract
Both gambling-related problems and trauma have long been associated with substantial costs for individuals, their families, and society. Existing reviews of research on the relationship between trauma and gambling have thus far been limited to quantitative work. A scoping review of published peer-reviewed qualitative research was conducted to synthesize existing research concerning the relationship between trauma and gambling. Relevant articles were identified through database searches in Ovid MEDLINE, APA PsycNET, PubMed, Scopus, PTSDpubs, and through hand sorting methods. English and French articles that comprised original qualitative research with results exploring the relationship between trauma and gambling were included. A total of 22 articles published between 2007 and 2022 were included in this review. Four major themes emerged during the narrative and thematic synthesis of the articles: (1) gambling as a consequence of trauma, (2) trauma as a consequence of gambling behavior, (3) cyclical relationship of trauma and gambling, and (4) healing from trauma and gambling-related harms. Future research would benefit from the use of qualitative methods in exploring the complex relationships between trauma and gambling.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".