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
The economics and elections connection has been heavily investigated, although mostly through single-country studies. The first comparative, survey-based research on economic voting, by Lewis–Beck, found serious effects. Subsequently, other comparative scholars have explored this terrain. The most recent, and most ambitious, examinations are by Duch and Stevenson and by van der Brug et al. These impressive efforts arrive at opposing conclusions about the importance of economic voting. We carry out another major examination, with an eye to reconciling these differences. A carefully specified model of vote choice is estimated on a balanced survey pool ( N > 40,000) from 10 Western European nations. Special pains are taken with issues of economic measurement, estimation, and endogeneity. The finding is that economic perceptions are formed from economic reality, and importantly influence vote choice. Besides enhancing our understanding of comparative political behavior, the strong result speaks to the functioning of government accountability in advanced democracies.
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 | 0.001 | 0.001 |
| 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