Are People More Satisfied with Democracy When They Feel They Won the Election? No
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
Citizens who voted for a party ending up in government are more satisfied with democracy than those who supported a party that ends up in the opposition. The assumption is that voting for a party that is included in the government produces a perception of having won the election, which increases one’s level of satisfaction with democracy. This (assumed) mediation has never been directly tested. In this research note, we provide the first empirical test of this mediation using data from the Making Electoral Democracy Work project, which includes a question tapping whether the respondent perceives the party she voted for won or lost the election. We do not find support for the mediation hypothesis. We conclude that the meaning of the higher (lower) satisfaction observed among those who voted for a party included in the government (or in the opposition) remains ambiguous. Our research has important implications for the conceptualization of what it means to win or lose an election.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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