Ideological Understanding and Voting in Japan: A Longitudinal Analysis
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
Ideological semantics have long served as a means of political communication and an informational shortcut between voters and political elites. As the usage of ideological labels spread to non‐Western settings, questions have been raised concerning whether and how these concepts can reflect issue dimensions beyond the economic debates that have traditionally defined “left” and “right” in most Western democracies. The present study explores what issue dimensions citizens in Japan associate with ideological labels, and the degree to which ideological orientations and proximity to parties affect vote choice. We use longitudinal survey data covering a quarter‐century to investigate (i) to what extent do citizens understand the ideological space in terms of foreign and security policy at the expense of other issue dimensions, as previous studies have documented; and (ii) whether ideological orientations have remained a relevant guide to voting behavior for four major parties in the past three decades.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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