Why this work is in the frame
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Bibliographic record
Abstract
Follows the trajectories of left-wing revolutionary movements across the Arab world Introduces new transnational and generational approaches in the study of Arab Left, and thereby opens new avenues for research on the Cold War, the Sixties and national emancipation struggles Features an interdisciplinary team of scholars that bring into conversation a wide range of concerns including radicalisation processes, revolutionary hopes, neoliberal globalisation, Islam and the Left, the legacy of Marxism, communism and Left-wing politics in general Examines the interventions of a wide range of leftist parties and groups in the Middle East Traces the political involvement of Arab Left revolutionaries such as Khaled Bakdash, Mahdi Ben Barka, Khalid Ahmad Zaki and Arwa Salih The Arab Lefts explores the entangled histories of Left-wing trends across the Mashreq and Maghreb regions in the ‘Long Sixties’. Based on an analysis of textual and audio-visual materials, it surveys radical Left traditions in the Arab world that took shape between the 1950s and 1970s. The book is divided into three thematic parts that are compiled of case studies utilising a multitude of perspectives in political theory, history, literary studies and sociology. In the first part, the authors study revolutionary circulations of men, representations, and know-how. The second part is devoted to interrogating the multifaceted tensions between local, regional, and global challenges. The final part scrutinises the transformations of political subjectivities and invites reflection on the general shift from a revolutionary configuration of temporality to the closure of time – and the so-called ‘Left Melancholy’. The result is a balanced account of Left-wing revolutionaries that provides new insights into the history of the Middle East as well as contemporary radicalisation processes and authoritarian rules. Contributors Orit Bashkin , University of Chicago, USA. Samer Frangie , Center for Arab and Middle East Studies, American University of Beirut, Lebanon. Nate George , Rice University, USA. Gennaro Gervasio , Università Roma Tre, Italy. Laure Guirguis , Aarhus University, Denmark; IREMAM, France. Jens Hanssen , University of Toronto, Canada. Sune Haugbolle , Roskilde University, Denmark. Jakob Krais , Gerda Henkel Foundation, Germany; Leibniz-Zentrum Moderner Orient (ZMO), Germany. Daniela Melfa , University of Catania, Italy. Hana Morgenstern , Cambridge University, UK; Newnham College, UK. Maha Nassar , University of Arizona, USA. Matthieu Rey , IREMAM, France; CNRS, France; Collège de France, France. Abdel Razzaq Takriti , Center for Arab Studies, University of Houston, USA. Philipp Winkler , Florida Atlantic University, USA.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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