Characteristics of people seeking treatment for problem gambling in Ontario: Trends from 1998 to 2002
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This report summarizes the characteristics of individuals who sought help within Ontario's specialized problem gambling treatment system during its first four years of operation. All clients recorded in the provincial information system database as having entered a gambling treatment program between April 1, 1998, and March 31, 2002, are included. Broad trends and gender differences in demographic characteristics, gambling behaviours, and problem severity are considered and compared by fiscal year. Compared to population-based estimates of problem gambling, the number of clients served by this specialized treatment system is low but steadily increasing. Women have consistently made up approximately one third of clients entering treatment in each fiscal year, and their sociodemographic profile, their gaming preferences, and the duration of their problem gambling careers differ from those of male clients. The growing proportion of clients of both genders seeking help for problems related to slot machines is of primary concern and warrants further study.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it