The Futures We Want: How Goal-Directed Imagination Relates to Mental Health
Bibliographic record
Abstract
Imagination is an adaptive ability that can be directed toward the pursuit of personal goals. Although there is a wealth of research on goals and on imagination, few studies lie at the intersection—little is known about individual differences in goal-directed imagination. In 153 adults, we examined how 28 aspects of goal setting, pursuit, and goal-directed imagination relate to mental health. Higher well-being and lower depressive symptoms were strongly linked (a) to having goals that were more attainable, under control, and expected to bring more joy and (b) to goal-directed imagination that was clearer, more detailed, more positive, and less negative. Importantly, the emotional valence of goal-directed imagination strongly predicted well-being at a 2-month follow-up even after controlling for mental health at baseline. These findings underscore the relevance of goal-directed imagination to well-being and depressive symptoms and highlight potential targets for goal- and imagery-based interventions to improve mental health.
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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 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".