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Record W4391169139 · doi:10.25071/1916-0925.40294

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

2022· article· en· W4391169139 on OpenAlexvenueaboutno aff
Christine Chevalier-Caron

Bibliographic record

VenueCanadian Jewish Studies / Études juives canadiennes · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesPolitical science

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0170.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.262
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2022
Admission routes2
Has abstractyes

Explore more

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