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Record W1945156435 · doi:10.3917/gmcc.257.0111

Découpage colonial et nation-building en Syrie mandataire : regards français sur les suites de l’accord Sykes-Picot (1916-1938)

2015· article· fr· W1945156435 on OpenAlexaff
Samir Saul

Bibliographic record

VenueGuerres mondiales et conflits contemporains · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

L’accord Sykes-Picot est souvent évoqué dans le contexte de la guerre qui se déroule en Syrie depuis 2011. Multiconfessionnel, le pays est menacé d’un éclatement qui remettrait en question les frontières tracées par l’accord Sykes-Picot. Quant au projet américain d’un « Grand Moyen Orient », il redécouperait la région sur des bases confessionnelles. L’irruption d’éléments djihadistes au nord de l’Irak au lendemain de la rédaction du présent article souligne la réalité des défis posés aux États de la région. La Syrie mandataire est une entité multiconfessionnelle et multiethnique qui évolue vers la formation nationale. Mais elle est gouvernée selon des critères confessionnels et ethniques. L’article se penche sur la dynamique contradictoire de la politique française qui se traduit par l’inclusion formelle d’autant d’habitants que possible dans l’État syrien, mais aussi par sa segmentation sur des bases communautaires et confessionnelles. Plutôt qu’à l’action officielle de la France, il s’intéresse au regard porté par la presse française sur cette corrélation problématique.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.512

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.007
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.124
GPT teacher head0.352
Teacher spread0.229 · 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 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
Published2015
Admission routes1
Has abstractyes

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