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Record W7115918334 · doi:10.3167/hrrh.2025.510308

To a Familiar New World

2025· article· en· W7115918334 on OpenAlexvenueno aff

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicNorth African History and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsPersecutionNarrativeJudaismAllianceAgency (philosophy)PoliticsEmigration

Abstract

fetched live from OpenAlex

Abstract This article draws on original interviews with Jews who attended the schools of the Alliance Israélite Universelle in Morocco and Tunisia and subsequently immigrated to France. Building on recent approaches to Jewish migration history that move beyond persecution narratives as the primary motive for emigration, incorporate network analysis, and recognize agency in how and why people decide to emigrate to one place rather than another, it enriches our understanding of the how and why of the post-1948 Jewish departure from the Muslim world. As the interviewees’ departure narratives well demonstrate, political pressure points and personal circumstances combined with long-range economic, cultural, and educational forces to draw them from the Maghreb to France over the course of the 1950s, 1960s, and 1970s.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.013
Scholarly communication0.0080.006
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0390.005

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 head0.040
GPT teacher head0.290
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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