Texas hold'em poker: a qualitative analysis of gamblers' perceptions
Bibliographic record
Abstract
The authors examined gamblers' perceptions of Texas Hold'Em (HE) poker, especially regarding excessive behaviours and the nature of skill involved. Sixteen regular HE gamblers were assessed through a semi-structured interview and took part in a session of gambling exposure. A qualitative thematic analysis and a comparative analysis on problem and social gamblers were performed. Problem gamblers had an emotional profile that was characterized by a lack of self-regulation and difficulties with delayed gratification. The desire to take on a new persona through poker seems to be implicated in excessive poker behaviours. Three kinds of skills came to the fore: technical skills (mastery of rules and strategies), psychological skills (self-regulation and accurate analysis of adversaries), and financial skills (the ability to correctly assess the financial risk). The results support the fact that poker deserves to be set apart from other gambling forms, especially when it comes to prevention and treatment.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.005 | 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".