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Record W2594482583 · doi:10.7202/1038906ar

Analyse statistique des évangiles synoptiques : une étude de la paternité des textes par l’analyse des correspondances du taxi

2017· article· fr· W2594482583 on OpenAlexaffvenue
Vartan Choulakian, Sylvia Kasparian, Maki Miyake, Hiroyuki Akama, Masanori Nakagawa

Bibliographic record

VenueRevue de l’Université de Moncton · 2017
Typearticle
Languagefr
FieldComputer Science
TopicAdvanced Text Analysis Techniques
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

La généalogie des textes des évangiles synoptiques reste un sujet d’actualité. Différentes hypothèses existent quant à l’explication des similitudes ou des reprises de textes entiers d’un évangile à l’autre, dans les trois évangiles selon Matthieu , Marc et Luc . Une équipe de chercheurs japonais a réussi à identifier tous les segments communs entre les différents auteurs des évangiles de Marc , Luc et Matthieu et a construit un tableau de contingence qui décrit ces similitudes. Le tableau de contingence obtenu par le calcul des similarités dans les textes des évangiles synoptiques a été soumis à l’analyse des correspondances du taxi (ACT). L’ACT nous a permis d’obtenir des résultats interprétables et stables permettant de déduire une variante de l’hypothèse des deux évangiles.

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, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0010.003
Open science0.0030.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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 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
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueRevue de l’Université de MonctonSame topicAdvanced Text Analysis TechniquesFrench-language works237,207