An examination of internet and land-based gambling among adolescents in three Canadian provinces: results from the youth gambling survey (YGS)
Bibliographic record
Abstract
BACKGROUND: With the rapid proliferation of new gambling technology and online gambling opportunities, there is a concern that online gambling could have a significant impact on public health, particularly for adolescents. The aim of this study is to examine online and land-based gambling behaviour among adolescents in 3 Canadian provinces (Ontario, Newfoundland and Labrador, Saskatchewan) prior to the implementation of legalized online gambling. METHODS: Data are from 10,035 students in grades 9 to 12 who responded to the 2012-2013 Youth Gambling Survey (YGS) supplement, a questionnaire administered as part of the Canadian Youth Smoking Survey (YSS, 2012) in 3 provinces: Newfoundland and Labrador (n = 2,588), Ontario (n = 3,892), and Saskatchewan (n = 3,555). RESULTS: Overall, 41.6% of adolescents (35.9% of females and 47.4% of males) had gambled in the past 3 months. 9.4% of adolescents had gambled online in the past 3 months alone (3.7% of females and 15.3% of males). The most popular form of online gambling was online sports betting. Adolescents also engaged in online simulated gambling including internet poker (9.1%) and simulated gambling on Facebook (9.0%). Few adolescents participated in online gambling exclusively and online gamblers were more likely than land-based gamblers to engage in multiple forms of gambling. A higher proportion of adolescent online gamblers scored "high" or "low to moderate" in problem gambling severity compared to land-based only gamblers. CONCLUSIONS: Despite restrictions on online gambling at the time of the study, adolescents were engaging in online gambling at a significantly higher rate than has been previously found. Adolescents were also using technology such as video games to gamble and free online gambling simulations.
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How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".