De opkomstkloof tussen jongvolwassenen en ouderen in nationale verkiezingen
Bibliographic record
Abstract
The Age Gap in Voter Turnout Between Young Adults and Older Citizens in National Elections: A Comparative Study Recent research from Canada, Great Britain, and the United States indicates that turnout in national elections is declining rapidly among young adults. As a consequence of this trend, the age gap in voter turnout between younger and older voters widens. The aim of this paper is to understand whether similar patterns are observed in other Western democracies. Based on national election studies from eight European countries, Canada, and the United States, turnout patterns of younger and older citizens are traced and compared over the past decades. In a second step, a first attempt at explaining aggregate patterns is made. More specifically, the hypothesis that young people are particularly sensitive to the level of competitiveness between political parties is assessed. In low stake elections, turnout patterns of young citizens are expected to be relatively low. Therefore, declining turnout levels among young adults could be a sign of declining levels of political competitiveness. Nonetheless, multivariate analyses show that different measures of political competitiveness neither directly affect the age gap nor the turnout levels of young voters.
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.
How this classification was reachedexpand
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 | 0.001 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".