Political Alienation: Behavioral Implications of Efficacy and Trust in the 2008 U.S. Presidential Election
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 research centers on three dimensions of political alienation – internal efficacy, external efficacy, and political trust. Multivariate analysis of the demographic determinants of political efficacy and trust suggests that females, blacks, and latinos were more like to exhibit feelings of internal and external efficacy, but trust is significantly higher only among the well-educated and strong partisans. We then examined the behavioral implications of these attitudes on voter turnout and candidate preference in the 2008 presidential election. Logit analysis of the 2008-2009 American National Election Study data suggests that internal efficacy increases turnout while external efficacy and trust are insignificant. With regard to candidate preference, those individuals exhibiting internal and external efficacy were more likely to vote for Barack Obama, while trust was insignificant.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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