Les joueurs pathologiques en traitement sont-ils un groupe homogène? Différences selon la concomitance d’un trouble d’utilisation d’une substance
Bibliographic record
Abstract
Cette étude compare les profils sociodémographiques et cliniques de joueurs pathologiques en traitement dans un centre public de réadaptation en dépendance selon qu’ils présentent ou non un trouble lié à l’utilisation d’une substance (TUS) au moment de leur entrée en traitement. Les évaluations d’admission des joueurs requérant un traitement dans un centre public de réadaptation en dépendance ont été utilisées. Les joueurs (N = 322) ont été répartis en deux groupes mutuellement exclusifs, soit le groupe Jeu sans TUS (n = 190) et le groupe Jeu avec TUS (n = 132). Il était attendu que les profils sociodémographiques des deux groupes de joueurs pathologiques différeraient et que le groupe Jeu avec TUS présenterait un profil clinique plus sévère que le groupe Jeu sans TUS. Les analyses indiquent que le groupe Jeu avec TUS présente des besoins d’intervention plus importants sur les plans professionnel, judiciaire, psychologique et relationnel, en plus de se distinguer sur le plan sociodémographique. Toutefois, le groupe Jeu sans TUS présente quant à lui des besoins d’intervention plus importants concernant les habitudes de jeux de hasard et d’argent (JHA). Les auteurs discutent des implications de ces différences dans les profils cliniques, en considérant les cibles d’intervention à prioriser.This study compared the sociodemographic and clinical profiles of pathological gamblers in treatment at a public dependence rehabilitation centre. The gamblers (N = 322) were divided into two mutually exclusive groups based on their entry assessments, which evaluated if they presented with a concurrent substance abuse disorder (SAD) at the onset of treatment. The groups were as follows, Gambling without SAD (n = 190) and Gambling with SAD (n = 132). It was expected that the sociodemographic profiles of the two groups of pathological gamblers would differ, with the Gambling with SAD group presenting a more severe clinical profile than the Gambling without SAD group. Analyses indicate that the Gambling with SAD group has a greater need for professional, legal, psychological and relational intervention, as well as differences on the sociodemographic level. However, the Gambling without SAD group has a greater need for intervention concerning their gambling and gaming habits,. The implication of these differences in the clinical profiles is discussed in relation to the intervention targets to prioritize.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".