Gambling as a Search for Justice: Examining the Role of Personal Relative Deprivation in Gambling Urges and Gambling Behavior
Bibliographic record
Abstract
The present article explores the hypothesis that gambling might serve a justice-seeking function for some people, as gambling might offer a means to pursuing desirable outcomes that people feel they deserve but might be unable or unwilling to attain through conventional means. In Study 1, across two separate samples, self-reports of personal relative deprivation predict problem gambling and gambling urges over and above relevant control variables. In Study 2, the authors manipulate personal relative deprivation by informing participants that they have either less or more discretionary income than "similar others." They then give participants $20 and the opportunity to gamble. The results show that a greater percentage of participants who are "relatively deprived" (vs. "not relatively deprived") opt to gamble. Two manipulation validation studies demonstrate that the "relatively deprived" participants are preoccupied with justice during a modified Stroop task and feel resentful. Implications for understanding why people gamble are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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 source (direct Gemma or distilled Codex), 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".