Bibliographic record
Abstract
This paper describes a single case study of analgesia induced by gambling. The subject is a 48-year-old male diagnosed with pathological gambling problems, suffering chronic back pain resulting from a road trauma. The reported intensity of arousal associated with slot machines and roulette produced a state of dissociation or distraction that temporarily reduced levels of pain. Consistent with an operant conditioning model, this reduction in pain was a negative reinforcer that acted to elicit further gambling whenever the pain reached a certain level of discomfort. In the absence of any effective analgesic medication, he used gambling as his predominant strategy to manage pain. He began to enjoy gambling, and within a relatively short period, lost more than he intended and commenced chasing losses. Pain levels decreased following chiropractic interventions, but his gambling continued. The additional, positive reinforcing effects of the excitement generated by the slot machines and roulette gaming became sufficient to maintain persistence in gambling independent of pain experienced. This case highlights the possibility that psychological factors involved in establishing a gambling habit may differ from those involved in maintaining persistence.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.009 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".