On Being Attracted to the Possibility of a Win: Reward Sensitivity (via Gambling Motives) Undermines Treatment Seeking Among Pathological Gamblers
Bibliographic record
Abstract
Unfortunately, only a small percent of pathological gamblers seek the professional help they need. In the current study, we test the idea that individual differences in reward sensitivity should predict whether a pathological gambler has sought treatment-the odds of treatment seeking should decrease as reward sensitivity increases. This hypothesis rests on the proposition that reward sensitive pathological gamblers should find treatment seeking aversive because doing so would remove a route to reward. We also tested those motivations to gamble that are positively reinforcing (social affliction and self-enhancement) as a possible mechanism by which reward sensitivity undermines treatment seeking-we did not anticipate negatively reinforcing motivations (e.g., coping) to be a mechanistic variable. Ninety-two pathological gamblers completed a large-scale survey that contained the variables of interest. As predicted, pathological gamblers were less likely to have sought treatment as reward sensitivity increased. Moreover, this relationship was mediated by social affiliation motivations to gamble, but not self-enhancement or coping motives. Reward sensitive gamblers did not wish to seek treatment to the extent that they were motivated to gamble for the social interactions it provides-seeking treatment would cut this avenue of affiliation with others. In light of these results, we suggest health care professionals take reward sensitivity into account when trying to promote treatment seeking, to say nothing of the social affiliation motives that underlie the reward sensitivity-treatment seeking link.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".