Self-Interest, Inequality, and Entitlement in Majoritarian Decision-Making
Why this work is in the frame
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Bibliographic record
Abstract
We experimentally test competing theories of three-player majoritarian bargaining models with fixed, known disagreement values. Subjects are randomly assigned to three roles: a proposer and two types of voters. Each role is randomly assigned a disagreement value, i.e. a given amount of money he/she will receive if the proposal is rejected. These values are known to all players before any decision is made. Proposers then make a take-it-or-leave-it offer on how to split a fixed, known amount of money among the players. If a majority of players accepts the proposal, the players’ payoffs are determined by the proposal; if the proposal is rejected, each player receives his or her reservation value. We assess the ability of three behavioral hypotheses – self-interest, egalitarianism, and inequality-aversion – to account for our results. Our primary design variable is the proposer’s reservation value, which allows us to obtain different implications from each hypothesis. We find that each hypothesis is inconsistent with our data in important respects. However, subjects strongly respond to changes in reservation values as if they were interpreted as a basic form of entitlement.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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