MétaCan
Menu
Back to cohort
Record W2912945306 · doi:10.4000/books.cths.909

Entre profane et sacré : le monument « d’Ogier le Danois » à Saint-Faron de Meaux

2017· book-chapter· fr· W2912945306 on OpenAlexaff
Judith Förstel

Bibliographic record

VenueÉditions du Comité des travaux historiques et scientifiques eBooks · 2017
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsArtHumanitiesSAINTArt history

Abstract

fetched live from OpenAlex

Dans l’abbatiale Saint-Faron de Meaux s’élevait jadis un monument sculpté du xiie siècle, connu sous l’appellation de « tombeau d’Ogier le Danois ». Il se composait de deux gisants de moine placés sous un enfeu. Bien que son iconographie ne fasse aucunement référence aux légendes épiques, la tradition locale, transmise notamment par dom Mabillon, y reconnaissait le célèbre héros des chansons de geste et son écuyer Benoît. Ce monument constitue donc un bel exemple des diversités d’interprétations auxquelles peut se prêter une œuvre ; le glissement du sacré au profane est d’autant plus intéressant qu’il semble avoir été encouragé par l’abbaye elle-même.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.011
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.045
GPT teacher head0.279
Teacher spread0.234 · 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
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueÉditions du Comité des travaux historiques et scientifiques eBooksSame topicHistorical and Literary StudiesFrench-language works237,207