Out of Sight, Out of Time? A Meta–Analytic Investigation of Procrastination and Time Perspective
Bibliographic record
Abstract
Recent theory suggests that trait procrastination is a form of temporal self–regulation failure that reflects a disjunction between the present and future self. Yet research to date is sparse and inconsistent regarding the nature of the associations of procrastination with time perspective. The current study aimed to meta–analytically summarize the evidence to date to address the question of how procrastination is linked to future and present time perspective, and to test whether stress and positive affect explained the link between procrastination and future time perspective. A search of the available literature yielded six published studies and three unpublished studies, which were combined with five unpublished data sets for a total of 14 samples with 4312 participants. The meta–analysis revealed that procrastination had a moderate and significant negative association with future time perspective, and a small but significant positive association with present time perspective. Mediation analyses across two of the samples found that high stress and low positive affect explained in part the association between procrastination and future time perspective. Overall, these findings support the notion that procrastinators focus less on the future and highlight the dynamic interrelations of affect and cognition that underlie procrastinators’ intertemporal choices. Copyright © 2014 European Association of Personality Psychology
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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 | 0.019 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.020 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".