Bibliographic record
Abstract
I develop a model of ideologies as collectively sustained (yet individually rational) distortions in beliefs concerning the proper scope of governments versus markets.In processing and interpreting signals of the efficacy of public and market provision of education, health insurance, pensions, etc., individuals optimally trade off the value of remaining hopeful about their future prospects (or their children's) versus the costs of misinformed decisions.Because these future outcomes also depend on whether other citizens respond to unpleasant facts with realism or denial, endogenous social cognitions emerge.Thus, an equilibrium in which people acknowledge the limitations of interventionism coexists with one in which they remain obstinately blind to them, embracing a statist ideology and voting for an excessively large government.Conversely, an equilibrium associated with appropriate public responses to market failures coexists with one dominated by a laissez-faire ideology and blind faith in the invisible hand.With public-sector capital, this interplay of beliefs and institutions leads to history-dependent dynamics.The model also explains why societies find it desirable to set up constitutional protections for dissenting views, even when ex-post everyone would prefer to ignore unwelcome news.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.056 | 0.012 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".