Impulsivity, compulsivity and pathological gambling: an exploratory study of pathological gambling as an impulsivity-compulsivity spectrum disorder
Bibliographic record
Abstract
The current study was conducted to examine pathological gambling as an impulsivity-compulsivity spectrum disorder. University students (N=162) who gambled a minimum of twice monthly completed measures of impulsivity, compulsivity and pathological gambling. Instruments completed included: measures of problem gambling severity (South Oaks Gambling Screen, NORC DSM-IV Screen for Gambling Problems, Canadian Problem Gambling Index, Victorian Gambling Screen), the Padua Inventory, the Barratt Impulsivity Scale and the Tridimensional Personality Questionnaire. Results supported previous research indicating that pathological gamblers had elevated scores on measures of impulsivity and compulsivity, as well as personality factors correlated with these two constructs. Moreover, impulsivity and compulsivity were found to be interrelated as proposed by the impulsivity-compulsivity spectrum model.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".