Diffused effort, asset heterogeneity, and real estate brokerage
Why this work is in the frame
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Bibliographic record
Abstract
Abstract We generalize the classic Williams (1998, Review of Financial Studies , 11 , 239–280) brokerage model by introducing diffused effort and asset heterogeneity. The term “diffused effort” refers to the fact that an agent can cross‐utilize effort spending on one listing to another . One counterintuitive finding in Williams' paper is the absence of the agency problem . As a special case in our model, we recover the agency problem. We demonstrate the positive externality due to the diffused effort and show it depends on the agent's inventory size. Hence, there is a trade‐off between agents' effort committed to existing listings and expanding network size by soliciting new listings.
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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) | 0.001 | 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 | 0.000 |
| 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