Change and continuity in a help-seeking problem gambling population: A five-year record<xref ref-type="fn" rid="fn3">*</xref>
Bibliographic record
Abstract
This paper provides an overview of some trends among problem gamblers seeking help through the BreakEven/Gambler's Help problem gambling counselling services in Victoria, Australia, between July 1995 and June 2000. Data presented are drawn from details collected on clients at registration, assessment, and all other client contacts to form a Problem Gambling Services minimum data set (MDS). Analysis of the MDS shows a number of noteworthy trends towards continuity or change. A major element of continuity is the ability of the service to attract women, who constitute around 50% of the clients for the period. Major changes include the increasing trend towards presentation of clients at an earlier stage in their "career" as problem gamblers. Also identified is persistence or change in client characteristics, such as gender differences in gambling activity and problem type and level. In addition, a range of other factors are explored, such as level of debt and its associated characteristics, the characteristics of people committing crimes to finance their gambling, and the differences between people presenting for counselling and problem gamblers in the community.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".