Tilt in Online Poker: Development of a short version of the Online Poker Tilt Scale
Bibliographic record
Abstract
Tilt in poker is a phenomenon characterized by a loss of control. Tilt could be a risk factor for the development of problematic gambling in poker. To monitor the frequency of tilt episodes during online poker sessions, the Online Poker Tilt Scale (OPTS) was created within the French population. The aim of this study was to develop a short version of this scale, one that was faster to complete, and therefore more appropriate for the online poker player population, which was characterized by an impulsive personality and low survey participation rate. The short version is composed of nine items split into two factors (cognitive regulation and emotional regulation). The OPTS-9 version displayed good psychometric qualities and its scores were strongly correlated with those of the original version. Moreover, this shorter version allows rebalancing of the scale’s factorial structure, which facilitates interpretation of the results. This revised scale will measure the relative frequency of tilt episodes and allow to appropriately study the links between problem gambling and tilt episodes. This shortened 9-item version could be included in future experimental studies, as well as in prevention and treatment programs.RésuméL’inclinaison (tilt) au jeu de poker est un phénomène caractérisé par une perte de contrôle. Elle pourrait être un facteur de risque pour le développement d’un jeu pathologique au poker. Pour suivre la fréquence des épisodes d’inclinaison pendant les séances de poker en ligne, l’échelle Online Poker Tilt Scale (OPTS) a été créée au sein de la population française. Le but de cette étude était de développer une version courte de cette échelle, plus rapide à remplir, donc plus appropriée pour la population de joueurs de poker en ligne qui se caractérise par une personnalité impulsive et un faible taux de participation à des sondages. La version courte est composée de neuf éléments répartis en deux facteurs (régulation cognitive et régulation émotionnelle). La version OPTS-9 présente de bonnes qualités psychométriques et ses pointages sont fortement corrélés avec les pointages de la version originale. De plus, cette version courte permet de rééquilibrer la structure factorielle de l’échelle, ce qui facilite l’interprétation des résultats. Cette échelle révisée mesurera la fréquence relative des épisodes d’inclinaison et permettra d’étudier de façon adéquate les liens entre le jeu pathologique et les épisodes d’inclinaison. Cette version raccourcie à neuf éléments pourrait être incluse dans les futures études expérimentales, ainsi que dans les programmes de prévention et de traitement.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".