Bibliographic record
Abstract
Recent efforts by the United States and its allies to promote democracy, security, and stability in the Middle East owe much to the Euro-Mediterranean Partnership (EMP) -also known as the Barcelona process -an important region-building plan in the Mediterranean area since 1995.The Convergence of Civilizations represents the output of an innovative and much needed collaborative project focused on the EMP.Editors Emanuel Adler, Federica Bicchi, Beverly Crawford, and Raffaella A. Del Sarto have set out to show that security and stability may be achieved through a cultural approach based on the concept of regional identity construction, and to analyse the EMP in relation to this goal.The contributors to this collection focus on the obstacles Mediterranean region construction faces as a result of post-9/11 regional and global events, the difficulties of the Israeli-Palestinian peace process, tensions between the European Union and the United States over Iraq, and the expected consequences of EU enlargement.They also seek to bring the EMP and region-making practices to the attention of American scholars in order to promote a more fertile academic exchange.Ultimately, the contributors demonstrate that the EMP and related region-making practices, while failing so far to promote the development of a Mediterranean identity and to achieve regional stability, nonetheless provide a viable model for partnership and cooperation, and thus for preventing a 'clash of civilizations' in the long term.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.869 | 0.758 |
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 itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".