Undergraduate Research-Methods Training in Political Science: A Comparative Perspective
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
Abstract Unlike other disciplines in the social sciences, there has been relatively little attention paid to the structure of the undergraduate political science curriculum. This article reports the results of a representative survey of 200 political science programs in the United States, examining requirements for quantitative methods, research methods, and research projects. The article then compares the results for the United States with a survey of all political science programs in Australia, Canada, Finland, the Netherlands, Norway, Sweden, and the United Kingdom. The results suggest (1) that the state of undergraduate methods instruction is much weaker in the United States than indicated in previous research, (2) this pattern is repeated in other countries that emphasize broad and flexible liberal arts degrees, and finally (3) this pattern of weak methods requirements is not found in more centralized, European higher education system that emphasize depth over breadth. These countries demonstrate a consistent commitment to undergraduate training in research methods that is followed up with requirements for students to practice hands-on research. The model of weak methods requirements in the discipline is not the norm internationally, but differs depending upon the type of higher education system.
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 | 0.093 | 0.133 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.011 |
| Science and technology studies | 0.008 | 0.138 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.000 | 0.004 |
| 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