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Record W1960521142 · doi:10.4000/books.pupo.1907

Sint ut sunt aut non sint, ou les prodiges du comte de Bastard

2010· book-chapter· fr· W1960521142 on OpenAlexaff
François Fossier

Bibliographic record

VenuePresses universitaires de Paris Nanterre eBooks · 2010
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsFrancophone University Association
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

L’ère du tout numérique et l’avalanche d’images de toutes sortes sous lesquelles nous croulons aujourd’hui aux dépens du texte, hélas, a plongé dans l’oubli les prouesses techniques auxquelles étaient parvenus nos prédécesseurs dans le domaine de la reproduction d’illustrations qu’on ne pouvait guère connaître, en raison des longueurs et des difficultés des déplacements, autrement que par des procédés techniques relayant la description littéraire et venant satisfaire visuellement des curiosit...

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.933
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.193
Teacher spread0.176 · 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 teacher head, not a consensus.

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
Published2010
Admission routes1
Has abstractyes

Explore more

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