Structuring Conflict in the Arab World: Incumbents, Opponents, and Institutions
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
Structuring Conflict in the Arab World: Incumbents, Opponents, and Institutions , Ellen Lust-Okar, Cambridge: Cambridge University Press, 2005, pp. 279. For a very long time, the scholarship on Middle Eastern politics has suffered from scarce use of the analytical tools provided by the field of comparative politics. The result has too often been descriptive research in the anthropological style. Such studies lacked the rigour necessary for providing cumulative knowledge and theoretical insight. In recent years, however, an increasing number of scholars have been recognizing the value of complementing their in-depth knowledge of the region with appropriate social science theories. New theoretically oriented scholarship—produced by Mark Tessler ( Area Study and Social Science , Bloomington: Indiana University Press, 1999), Carrie Wickham Rosefsky ( Mobilizing Islam , New York: Columbia University Press, 2002), Quintan Wikorowitcz ( Islamic Activism , Bloomington: Indiana University Press, 2004), Eva Bellin ( Stalled Democracy , Ithaca: Cornell University Press, 2002), Lisa Anderson ( Transition to Democracy , New York: Columbia University Press, 1999), and a few others—filled such a need that, as a result of their publication, knowledge of Middle Eastern politics has taken a great leap forward since the early 2000s.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| 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