SELLER-BUYER ETHNIC MATCHES: THE CASE OF CAR TRANSACTIONS AT TWO NORTH AMERICAN AUTO DEALERSHIPS
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
Using personnel and transaction data obtained from two Canadian auto dealerships, we examine whether ethnic matches between salespersons and customers affectsales prices and the number of units sold by individual salespersons. Regarding prices, we detect neither premium price setting nor discounting among seller-buyer matches of the same ethnic groups relative to those of different ethnic groups. Regarding the number of units sold by individual salespersons, however, we find that, relative to customer demographics, salespersons sell larger quantities to customers of the same ethnic group. Moreover, we find that high-performing salespersons conduct more transactions with customers of the same ethnic group than low-performers, especially in months when business conditions are unfavorable.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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