Bibliographic record
Abstract
In 1945 Morocco was home to more than a quarter of a million Jews, the largest such population across the Middle East and North Africa. Today, perhaps 2,000 Jews reside there, while nearly a million Jews of Moroccan descent constitute a vibrant and highly mobile global diaspora. Through migration and their shared history, memory, and culture, they shaped what it means to be a Moroccan Jew. Through case studies in diverse centers of Moroccan Jewish life—from the Negev desert to cosmopolitan Montreal—this thesis focuses on migrants’ agency in navigating the political upheavals of the twentieth century and examines how the notion of their origins in Morocco inspired community development, identity construction, and collective action. It details unexplored episodes of Jewish life in independent Morocco, such as the teachers of the Alliance Israélite Universelle who helped build the nation-state, or the teacher of Moroccan descent born abroad who found that Morocco was where she belonged. Offering new perspectives on under-researched communities, this thesis follows the routes taken by migrants and illuminates the networks which, across vast distances, bind the members of this diaspora to each other and to their roots. Through its many revealing and sometimes personal stories, this thesis posits that Moroccan Jewish history did not end with mass emigration, but rather entered a new chapter. Blending macro and microhistory, it tells the story of how Moroccan Jews became Moroccan Jews by overcoming the challenges of migration and building connections in a modern example of transnational diaspora-making in a globalized world.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.144 | 0.043 |
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".