Erroneous Beliefs Verbalized While Playing Online Poker
Bibliographic record
Abstract
The objective of this study was to compare erroneous beliefs of online Texas Hold’em poker players with different level of severity of problems, in situations that could cause negative emotions. Verbalizations of three groups of gamblers (low-risk, n=10; at-risk, n=10 and problem, n=10) while playing an online poker tournament in a laboratory setting. Participants were not aware that they played against research assistants and that all cards received were predetermined and the same for all participants. Beliefs related to the illusion of control were found in the three groups of gamblers. At-risk and problem gamblers’ perceptions denote a greater influence given to their ability on the game results, with even a denial of the part played by chance. Poker-specific beliefs, different from those usually held by game-of-chance gamblers, were also found. These results are discussed to provide ideas in how to adapt erroneous perceptions questionnaires for online poker players.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".