Longing for the Non-Addicted Self: Self-Discontinuity Increases Readiness to Change via Nostalgia
Bibliographic record
Abstract
Objective: Across three studies, self-discontinuity (i.e., a sense that the present self is different from the past self) was examined as a motivating factor for readiness to change.Moreover, nostalgia was assessed as the mediating variable in this relationship.Method: Self-discontinuity was both measured (Study 1) and manipulated (Studies 2 and 3) among a sample of disordered gamblers (Studies 1 and 2) and problem drinkers (Study 3).In all three studies, nostalgia and readiness to change was assessed.Results: As predicted, high levels of self-discontinuity resulted in greater readiness to change to the extent that disordered gamblers felt nostalgic for the pre-addicted self (Studies 1 and 2).Study 3 extended the generalizability of the results by replicating these findings with a sample of problem drinkers.Conclusion: Highlighting the difference between people's past non addicted and present addicted selves may be an important catalyst in moving people from addiction to action.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".