Time Will Fly During Future Fun (But Drag Until Then)
Bibliographic record
Abstract
Consumers’ lives are filled with scheduled events—both positive and negative. The current research examines how the valence of future scheduled events colors consumers’ temporal judgments in relation to such events: the time until their onset, the time during the events, and the time until their offset. We propose that the lay theory espousing “time flies when you’re having fun” leads consumers to judge that positive (vs. negative) future events of equivalent objective distance and duration are farther away and shorter . Operating in tandem, these elements produce two novel phenomena: (a) The end of positive and negative events can feel similarly far from the present, and (b) The beginning and end of positive events can feel similarly far from the present, whereby, in some circumstances, the event’s duration is effectively eliminated in the mind’s eye. Four studies provide evidence for these predictions, informing future directions regarding prospective time perception.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.026 | 0.001 |
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; both teacher heads agree on what is shown here.
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".