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Record W1530203562 · doi:10.4000/crm.2727

Elyse Dupras, Diables et saints. Rôle des diables dans les mystères hagiographiques français

2020· article· fr· W1530203562 on OpenAlexaboutno aff
Mattia Cavagna

Bibliographic record

VenueCahiers de recherches médiévales et humanistes · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cet ouvrage est issu d’une thèse de doctorat canadienne, soutenue par Elyse Dupras à l’Université McGill de Montréal, sous la direction de Giuseppe DiStefano. Il s’agit d’un travail sérieux, très bien documenté, qui ouvre de nombreuses pistes de recherche dans le domaine du théâtre médiéval.Le corpus des textes retenus compte vingt-six mystères et deux miracles, ces derniers se distinguant par le fait que les saints dont il est question sont déjà en paradis. Il s’agit d’un corpus très vaste,...

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)0.002
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 score0.106
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.113
GPT teacher head0.291
Teacher spread0.177 · 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
Published2020
Admission routes1
Has abstractyes

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