A Mental Imagery Intervention to Increase Future Self‐Continuity and Reduce Procrastination
Bibliographic record
Abstract
This research examined how mental imagery practice can increase future self‐continuity to reduce procrastination. A total of 193 undergraduate students were randomly assigned to a present‐focused meditation or to a future self‐focused mental imagery condition. Participants in both conditions were asked to listen to their respective audio recording twice per week for four consecutive weeks and to complete a pre‐intervention, half‐point, and post‐intervention questionnaire. At the four‐week mark, hierarchical regression analyses revealed that both future self‐continuity and empathic perspective taking were significantly higher for the mental imagery condition than the meditation condition. While vividness of future self moderated change in future self‐continuity, affective empathy for future self mediated the relation between vividness of future self and future self‐continuity. Lastly, only empathic perspective taking was a significant moderator of change in procrastination across time. The influence of empathy and future self‐continuity on procrastination is 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".