On the front lines of democracy: perceptions of electoral officials and democratic elections
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
Electoral officials play a crucial role in instilling confidence in elections and democracy. They are involved in the most important tasks of running elections, from registering voters to counting the ballots. This article employs survey data from 35 countries from the sixth wave of the World Values Survey (2010–2014) which asks respondents about their perceptions of electoral integrity and the quality of democracy in their country. The analysis demonstrates the relationship between perceptions of the fairness of electoral officials and two important outcomes: confidence in the fairness of the vote count, and perceptions of the overall quality of democracy. It additionally considers under which circumstances this relationship is most pronounced and shows that the relationship between an individual’s perceptions of electoral officials and perceptions of electoral integrity is more pronounced in countries where there is a low liberal democracy index.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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