AFTER THE TOURNAMENT: OUTCOMES AND EFFORT PROVISION
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Outcomes of workplace competitions may themselves influence subsequent behavior—particularly if employees feel wronged. In a laboratory experiment, we find that—consistent with inequity aversion—tournament losers supply less postcompetition effort than winners when doing so reduces their tournament opponent's earnings. Consistent with procedural fairness concerns, subjects who lose arbitrarily decided tournaments that disregard tournament effort choices supply even less post‐tournament effort than other losers. While losers' effort reductions consistent with inequity aversion persist, effort reductions following arbitrarily decided tournaments fade over time. Finally, we show that effort reductions related to inequity aversion could potentially be mitigated through workplace rotations. ( JEL C90, J30, D03)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.001 | 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 it