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Record W3003859823 · doi:10.48248/issn.2037-741x/796

The Memory of North African Jews in the Diaspora

2012· article· en· W3003859823 on OpenAlexaboutno aff
Mechtild Gilzmer

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaHistoryGenealogyGeographySociologyGender studies

Abstract

fetched live from OpenAlex

In the following contribution, I will approach in three steps the construction of memory by North-African Jews in the Diaspora. I will first trace the history and historiography of Jews in Arab countries and point out their characteristics. This will lead me to look more precisely at the concept of “Sephardic Jews,” its meaning and application as a key-notion in the memory building for Jews from Arab countries in the Diaspora nowadays. As literature and filmmaking hold a crucial role in the perception and transmission of memory, I will then present the works of two Jewish women artists, one living in France and the other living in Quebec, both with North African origins. I will try to show how they use the past for identity (de-)construction and compare their approaches. I choose the two examples because they illustrate two extremely opposed positions concerning the role of cultural identity. Standing in the intersection of history and literary studies, my interdisciplinary work considers literary and film as memory archives and subjective representations of the past not as historical sources. In referring to Jews in Arab countries this means in my article more precisely to look at the North-African Jews.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.001
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 head0.285
GPT teacher head0.534
Teacher spread0.249 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2012
Admission routes1
Has abstractyes

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