Political trust and democracy: the critical citizens thesis re-examined
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
This article empirically assesses competing perspectives of the relationship between democracy and political trust. We conduct multilevel analyses on a cross-national panel dataset of 82 countries for the period 1990–2020. The findings suggest that there is a strong, negative relationship between democracy and political trust that cannot easily be dismissed as an artifact of model misspecification or response bias. Moreover, we re-examine the critical citizens thesis by disaggregating political trust into trust in partisan and “non-partisan” institutions to test the claim that well-functioning democracies contain and channel distrust into the more partisan political institutions to keep distrust from generalizing to the entire political system. The results fail to find a statistically significant difference of the effect of democracy on trust between partisan and non-partisan institutions, suggesting that low political trust within democracies may be a more acute problem than much of the literature suggests.
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 | 0.002 |
| 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 | 0.000 |
| 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