Bibliographic record
Abstract
The current research aims to describe general scheduling tendencies, evaluate the impact considering task end-times have on scheduling tendencies, and finally, to assess links between scheduling tendencies and productivity.Throughout four studies, findings indicated that participants consistently preferred to schedule tasks on-the-hour (e.g., 9:00 or 10:00 vs. 9:15 or 10:30).When considering task end-times, this tendency for on-the-hour scheduling was reduced, especially when participants had five tasks or more to schedule.On-the-hour scheduling is likely a form of intermittent scheduling, which has been detrimentally associated with productivity.Although some correlational evidence was uncovered to support the notion that on-the-hour scheduling would be detrimentally linked to productivity (Study 2), replications showed no association between the variables (Study 3).These findings provide valuable information regarding scheduling tendencies, as well as the impact considering task end-times have on scheduling.However, more research is needed to examine links between on-the-hour task scheduling and productivity.iii
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".