On being loyal to a casino: The interactive influence of tier status and disordered gambling symptomatology on attitudinal and behavioral loyalty
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND AIMS: Casino loyalty programs are marketing strategies designed to foster attitudinal (i.e., identification and satisfaction) and behavioral (i.e., spending) loyalty among gamblers by offering rewards to members. Casino loyalty programs use a tier-based structure to segment members who spend more money into higher tiers, where they receive better rewards (compared to lower tiered members). Tier-based structures may encourage increased expenditure among patrons, especially among players living with a gambling disorder. The current work aimed to examine whether tier status and disordered gambling symptomatology interact to predict attitudinal and behavioral loyalty. METHODS: Study 1 used a cross-sectional design to examine whether tier status and disordered gambling symptomatology interact to predict self-reported loyalty among a sample of American casino loyalty program members (N = 396). In Study 2, archival player account data from Canadian casino loyalty program members (N = 649) were analyzed to examine whether tier status and disordered gambling symptomatology interact to predict objective measures of behavioral loyalty. RESULTS: The greatest effect of tier status on attitudinal and behavioral loyalty was observed among non-problem gamblers in the highest tiers. Tier status, however, did not influence loyalty among members high in disordered gambling symptomatology. DISCUSSION: Results suggest that once gambling has become problematic, loyalty programs may not influence player attitudes and behaviors. Non-problem gamblers may be particularly susceptible to the tiered structure of the programs. CONCLUSION: Non-problem gamblers may benefit from casino loyalty programs in the short-term but longitudinal research is needed to understand the long-term influence of membership.
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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) | 0.000 | 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) | 0.000 | 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 it