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Record W2576709056 · doi:10.4000/monderusse.8822

История рүcckοй эмиграции «первой волньі» в Түнисе.

2005· article· ru· W2576709056 on OpenAlexaff
Marina A. Panova

Bibliographic record

VenueCahiers du monde russe · 2005
Typearticle
Languageru
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsBibliothèque et Archives nationales du Québec
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

RésuméL’histoire de l’immigration russe en Tunisie commence en hiver 1920-1921 lorsque, après la défaite des armées blanches contre les bolcheviks lors de la guerre civile et l’évacuation de la Crimée, 33 bateaux de l’Escadre impériale russe chargés de 6 000 réfugiés accostent dans le port de Bizerte Cette émigration militaire russe forme ainsi la première colonie russe de Tunisie. Jusqu’à la fin de l’année 1924, la vie de cette communauté s’organise essentiellement autour de la Marine russe. L’article se propose d’étudier l’histoire de cette immigration et de retracer la vie des « Russes blancs » de Tunisie sous ses différents aspects. Il examine en détail les questions liées à la présence de l’Escadre russe dans le port de Bizerte, décrit la vie des marins et de leurs familles, évoque le destin des bateaux, etc. Comment vivaient les Russes dans la Tunisie de l’époque coloniale ? Quelle place ont-ils occupée dans la société tunisienne ? Quel héritage, notamment culturel, ont-ils laissé ? L’auteur étudie à travers ces questions les problèmes sociaux, économiques, juridiques, culturels et religieux liés au processus d’intégration dans le pays d’accueil.

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, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.759
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.010
GPT teacher head0.238
Teacher spread0.228 · 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 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
Published2005
Admission routes1
Has abstractyes

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