The Categorization of Time and Its Impact on Task Initiation
Why this work is in the frame
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Bibliographic record
Abstract
It could be argued that success in life is a function of a consumer's ability to get things done. The key step in getting things done is to get started. This research explores the effect of the categorization of time on task initiation. Specifically, we theorize that consumers use a variety of cues to categorize future points in time (events) into either events that are like the present event or those that are unlike the present event. When the deadline of a task is categorized in a like-the-present category, it triggers the default implemental mind-set and hence results in a greater likelihood of task initiation. A series of field and lab studies among farmers in India and undergraduate and MBA students in North America provided support to this theorizing. Our findings have implication for goal-striving strategy and choice architecture.
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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 | 0.015 | 0.009 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it