MétaCan
Menu
Back to cohort
Record W2912117980 · doi:10.4000/books.psorbonne.14121

Alphabétisation et définition du petit peuple à la fin du Moyen Âge

2002· book-chapter· fr· W2912117980 on OpenAlexaff
Kouky Fianu

Bibliographic record

VenueÉditions de la Sorbonne eBooks · 2002
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicMedieval and Early Modern Justice
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Lorsqu’on évoque le petit peuple médiéval, il est communément entendu que l’on parle d’individus dans une situation économique modeste (pauperes), impliqués dans un travail manuel (laboratores), baignés dans une culture orale (illitterati) et sans statut juridique particulier. Mais, comme l’ont montré la plupart des participants à ce colloque, la définition de ces groupes sociaux particuliers n’est pas aussi aisée qu’elle y paraît, les éléments à prendre en compte étant nombreux et les situat...

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.004

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 head0.030
GPT teacher head0.264
Teacher spread0.233 · 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
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
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueÉditions de la Sorbonne eBooksSame topicMedieval and Early Modern JusticeFrench-language works237,207