The Impact of Linking Three Different Incentive Methods to Specific, Challenging Goals
Why this work is in the frame
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Bibliographic record
Abstract
Despite a great deal of research investigating incentives and goal setting more broadly, little is known about the linking of goals and goal attainment to different monetary incentive structures, or the manner in which such structural choices impact various job attitudes and job performance. Consequently, a quasi-field experiment, a laboratory experiment, and an on-line survey experiment examined the effects of three monetary incentive systems on task performance (exps. 1, 3), counterproductive behavior (exper. 2), and perceptions of fairness (exps. 1, 3). Additionally, the mediating effect of prolonged effort/persistence (exp. 3) was tested. The results revealed that an all-or-nothing distal goal method of linking a monetary incentive to a goal under-performs the multiple proximal goals and linear piece-rate methods with regard to task performance, counterproductive behavior, and perceptions of fairness. The results of the third experiment revealed that persistence and perceptions of fairness mediate the monetary incentive-task goal performance relationship.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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