L’héritage des activités de l’Alliance israélite universelle dans les relations entre accueillants.es et accueillis.es à Montréal et en France des années 1950 aux années 1980 : le cas des migrations d’origine marocaine
Bibliographic record
Abstract
In the 1950s and 1960s, the Jewish communities of Morocco left the Kingdom en masse. While a large majority migrated to Israel, tens of thousands chose France and Canada as their place of settlement. These migrants had in common that they had attended the schools of the Alliance Israélite Universelle, a very active institution with establishments in Morocco and scientific activities in France. Through this schooling, these individuals learned French and had close contact with French culture, which had some influence on their choice of migration process. In this article, the objective is to look at the different ways in which IAU activities had an impact on the settlement processes of Moroccans in Montreal and Paris. As we shall see, those who chose Montreal generally wished to set up activities that mirrored those of the IAU and that allowed for the maintenance of the French language. On the other hand, a very different reality awaited those who arrived in Paris and were confronted with an image of themselves that was disseminated by the Alliance. In this article, the author discusses the settlement - through the prism of otherness and orientalism - of the two phenomena that marked the relations with the Jewish communities already present in these societies.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".