EXPLORING HELP-SEEKING BY âPROBLEM GAMBLERSâ, FAMILY AND COMMUNITY MEMBERS IN AFRICAN NOVA SCOTIAN COMMUNITIES
Bibliographic record
Abstract
There are significant gaps in research on gambling and problem gambling among people of African descent in Canada. In this qualitative research the author sought to explore the experiences and perceptions of African Nova Scotians who self-identify as “problem gamblers”, individuals who have been impacted by family members with gambling problems and African Nova Scotian community members. The author also examined the structural and cultural factors that influence help-seeking for African Nova Scotians with gambling problems. \nThe results of the research revealed that problem gambling impacts individuals, family members and the African Nova Scotian community as a whole. African Nova Scotians’ perceptions of gambling, problem gambling and available treatment services prevented service accessibility for gambling related problems. Cultural and structural factors also prevented help-seeking among African Nova Scotians with gambling related problems, hence the underrepresentation of African Nova Scotians in treatment services.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".