Studying Your Own Country: Social Scientific Knowledge for Our Times and Places
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 Political science is both a generalizing and an anchored, nationally defined, discipline. Too often, the first perspective tends to crowd out the latter, because it appears more prestigious, objective, or scientific. Behind the international/national dichotomy, there are indeed rival conceptions of social science and important ontological, epistemological and methodological assumptions. This article discusses these assumptions and stresses the critical contribution of idiographic, single-outcome studies, the importance of producing relevant, usable knowledge and the distinctive implications of studying one's own country, where a scholar is also a citizen, involved in more encompassing national conversations. The aim is not to reject the generalizing, international perspective, or even the comparative approach, but rather to reaffirm the importance of maintaining as well, and in fact celebrating, the production of social scientific knowledge directly relevant for our own times and places.
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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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