Moving Disordered Gamblers Toward Change: Implicit Theories Moderate the Indirect Relationship from Self-Discontinuity to Attempted Change through Nostalgia
Bibliographic record
Abstract
The present study employed a longitudinal design to test a moderated-mediation model of attempted change among disordered gamblers.Specifically, self-discontinuity (i.e., feeling that gambling has fundamentally changed the self) was expected to lead to attempted change through feelings of nostalgia for the pre-addicted self.Moreover, this indirect relationship was hypothesized to be conditional upon gamblers' implicit theories of behaviour (i.e., malleable versus stable).To this end, a community sample of disordered gamblers (N = 243) completed measures of self-discontinuity, nostalgia, implicit theories, and readiness to change.Three months later, participants were asked whether they had made an attempt to change their gambling behaviour since the initial session.As expected, self-discontinuity lead to attempted change through nostalgia, but only for gamblers who believed that behaviour was malleable, as opposed to stable.As few disordered gamblers attempt to change their behaviour, these findings are important in promoting positive behavioural change.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".