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Record W2101745011 · doi:10.7202/1029366ar

La stratégie et la réponse de l’État byzantin aux risques d’invasions barbares (VIIIe-IXe siècles)

2015· article· fr· W2101745011 on OpenAlexaffvenue
Vincent Tremblay

Bibliographic record

VenueCahiers d histoire · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La période iconoclaste byzantine est considérée à tort comme une période de recul politique et intellectuel. En effet, du XVIII e siècle jusqu’à aujourd’hui, les historiens ont fait perdurer le discours négatif des sources grecques dans l’historiographie, de sorte que notre conception de cette période n’a pratiquement pas changé depuis le IX e siècle : les empereurs iconoclastes Léon III (717-741) et Constantin V (741-775) sont principalement reconnus pour avoir instauré la doctrine iconoclaste et mené une campagne de destruction massive des images religieuses et de persécution de leurs défenseurs (majoritairement des moines). Cette lecture, suite aux derniers développements historiographiques, est complètement battue en brèche, et Léon III et Constantin V sont aujourd’hui accrédités comme d’excellents généraux et administrateurs. Cet article s’inscrit pleinement dans cette ligne directrice et propose de nuancer l’image des empereurs afin de faire ressortir leur rôle politique et militaire dans la restauration de l’Empire byzantin à la suite des invasions arabes au VII e siècle.

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
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.787
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
Bibliometrics0.0000.000
Science and technology studies0.0050.011
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.259
Teacher spread0.221 · 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
GenreOther

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
Published2015
Admission routes2
Has abstractyes

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