Political Science Journals in Comparative Perspective: Evaluating Scholarly Journals in the United States, Canada, and the United Kingdom
Why this work is in the frame
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Bibliographic record
Abstract
In this article we report the results from a new survey of political scientists regarding their evaluations of journals in the political science discipline. Unlike previous research that has focused on data from the United States, we conducted an Internet survey of political scientists in the United States, Canada, and the United Kingdom. We present data on journal evaluations, journal familiarity, and journal impact, both for our entire sample ( N = 1,695) and separately for respondents from each of the three countries. We document the overall hierarchy of scholarly journals among political scientists, though we find important similarities and differences in how political scientists from these three countries evaluate the scholarly journals in the discipline. Our results suggest that there is a strong basis for cross-national integration in scholarly journal communication, though methodological differences among the three countries may be an impediment.
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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 | 0.043 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.009 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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