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Record W2748430835 · doi:10.3138/jcs.50.3.592

Scholarship on Moroccan Jews in Canada: Multidisciplinary, Multilingual, and Diasporic

2017· article· en· W2748430835 on OpenAlexvenueaboutno aff
Yolande Cohen, Stephanie Tara Schwartz

Bibliographic record

VenueJournal of Canadian Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipJudaismHistoriographyEthnic groupImmigrationHistoryPopulationSociologyDiasporaGender studiesIdentity (music)InterculturalismEthnologyAnthropologyPolitical scienceMulticulturalismDemographyLawArchaeology

Abstract

fetched live from OpenAlex

A historiography on Moroccan Jews in Canada (1960–2015) offers an exemplary case study of conducting comprehensive research on religious and ethnic minorities within a Canadian national framework. To find literature on this community, one must take a multinational, multidisciplinary, and multilingual approach. This mirrors the diasporic reality of Moroccan Jews, themselves dispersed from Morocco to Israel, France, Canada, and beyond. Scholarship on Moroccan Jews in Canada must cross the linguistic divides of Quebec and Ontario, as the majority francophone, but also Spanish- and Judeo-Arabic-speaking, population settled predominantly in Montreal followed by Toronto. In an attempt to examine Moroccan Jews as part of Canadian and Quebec history, the authors examined over 130 articles for this study—mostly regarding Moroccan Jews in Montreal, but these also included some key works in Canadian Jewish studies and Quebec studies. In what follows, we analyze the chronology of these works in relation to broader trends in Canadian Jewish studies and Quebec studies. The trends in the growth of studies on Moroccan Jews in Canada have been divided into roughly four overlapping periods: immigration and integration (1960s to 1970s); recognition and rapprochement (1980s); multi-culturalism, interculturalism, and the production of ethnicity (1990s); and memory, identity, and religion (2000s to present).

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.083
GPT teacher head0.338
Teacher spread0.255 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
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

Citations8
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Canadian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207