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Record W4406089736 · doi:10.4000/130vn

Le Moyen Age de Peter Tremayne fait vendre

2024· article· fr· W4406089736 on OpenAlexvenueno aff
Virginie Roche-Tiengo

Bibliographic record

VenueBelphégor · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtPhilosophyHumanities

Abstract

fetched live from OpenAlex

Cet article s’attache à définir comment l’arrière-plan historique des Mystères de Fidelma, ce Moyen Âge qui est pour Peter Tremayne « l’âge des lumières » pour l’Irlande, tant au niveau de la littérature, de la culture, des arts que du système juridique mêle le plaisir du dépaysement à celui du mystère dans une quête indicielle de vérité. Après avoir montré comment les trente-cinq tomes de la saga Fidelma, ces romans policiers historiques traduits dans le monde entier, font vendre une vision érudite et cartographiée du Moyen Âge irlandais à travers des exemples juridiques de crimes jugés à l’aune des lois de l’ancien Droit celtique, les lois des Brehons (en irlandais : Dlíthe na mBreithiúnaan), nous nous interrogerons sur l’attrait topographique et linguistique d’un lectorat international pour le VIIe siècle irlandais.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.627
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.039
GPT teacher head0.270
Teacher spread0.231 · 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
Published2024
Admission routes1
Has abstractyes

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