Canadian Adolescent Gambling Inventory (CAGI) Phase III Final Report
Bibliographic record
Abstract
The development and psychometric evaluation of the Canadian Adolescent Gambling Inventory (CAGI) was undertaken in two phases. Phase I consisted of: (a) an examination of how problem gambling is conceptualized, defined and measured in the literature; and (b) the development of a new conceptual framework, definition and means of measurement. This phase of the research involved an extensive review of the literature, consultation with a panel of experts in the field and focus groups with adolescents. The result was the development of a new conceptual framework and operational definition and the development of a draft instrument for measuring problem gambling. Phase II of the project involved the fine‐tuning and testing of the validity and reliability of the instrument developed in Phase I. This was accomplished by testing both an English and French version on a sample of adolescents drawn from school populations in Manitoba and Québec. Data collection included a pilot test with 195 students from Manitoba and 277 students from Québec. This was followed by a general school survey with 2,394 students, a retest of 343 students from the general school survey, and clinical validation interviews with 109 students who initially participated in the general school survey. The original Phase II research design proposed utilizing two external sources of data to interpret scale scores and establish cutscores for levels of risky gambling behaviour; namely youth in treatment for gambling problems and clinician’s assessments. It is important to assess the classification accuracy of the instrument (i.e., sensitivity, specificity, positive and negative predictive values) for detecting ‘problem gambling cases’ against a reference standard such as a case assessed by an expert interviewer. During Phase II, we were unable to locate any 12–17 year olds in treatment for a gambling problem. As well, the clinical interviews with school students resulted in very few students being classified as problematic gamblers. Therefore, in the absence of external validation criteria and expert consensus, frequency distributions and measures of central tendency were used to determine ‘abnormal’ gambling behaviour for a school sample of gamblers. As such, cutscores and score interpretations provided by Phase II work were temporary. The results needed to be cross‐validated with other relevant samples; particularly, samples that include youth with gambling problems. Phase III addressed the limitation of Phase II by reaching a new sample of youth who were at greater risk of having problems with gambling (e.g., adolescents who were receiving treatment for substance abuse or were receiving services from youth centres) or who were experiencing problems with 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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".