Bibliographic record
Abstract
“Relocating Arab Nationalism” locates various representations of nationalism in the Arab world in new and hitherto neglected contexts. The project was first conceived in a conversation among some of the contributing authors about the validity of nationalism as a research topic in a seemingly postnationalist period in the Middle East. This conversation turned into a panel at the 2007 MESA conference in Montreal as an attempt to contribute to a further shift of perspective in the study of Arab nationalism away from the realm of theory and politics toward that of cultural history. The articles in this volume therefore trace the contours of multiple imaginary Pan-Arab spaces between the Atlantic Ocean and the Tigris river, inquiring into the movements of people, terms, and ideas between physical locations and in time. The space is imagined but experienced; the people who moved in it were sometimes excited about its promises and sometimes disappointed about its corruption and containment. Such experiences are the focal points of the articles. They ask whether and in what ways a virtual Pan-Arab community transcending the borders of nation–states ever existed. They also present the multitude of national narratives that were at work—and more often than not in conflict—inside the boundaries of nation–states. The authors do not see Arab nationalism as first and foremost a political agenda of unification and cooperation but rather focus on the roots, establishment, and evolution of imaginative, symbolic, or “lived” ties between people(s) who claimed to belong to an Arab national community, or tried to claim space for dissident minorities through counterhegemonic narratives. Case studies from Algerian, Moroccan, Syro-Palestinian, and Iraqi contexts from the interwar to the postindependence periods investigate the ways these ties of community were established beyond the rhetoric of textbooks and political speeches.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".