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Record W4409962542 · doi:10.3917/rma.303.1053

Oltre la mer salee . Proceedings of the 21 st International Congress of the Société Rencesvals pour l’Étude des Épopées romanes, Toronto, 13–17 August 2018 , éd. Dorothea Kullmann , Anthony Fredette , Toronto, Pontifical Institute of Mediaeval Studies, 2022 ; 1 vol., XII–422 p. ( Studies and Texts , 227 ; Toronto Studies in Romance Philology , 4). ISBN : 978-0-88844-227-7. Prix : USD 100,00

2025· article· fr· W4409962542 on OpenAlexaboutno aff
Gauthier Grüber

Bibliographic record

VenueLe Moyen Age · 2025
Typearticle
Languagefr
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Despite acting as links between the agricultural production of the countryside and the commercial activities of the late medieval cities, urban peasants have been the subject of few research. In Montpellier, metropolis of Bas-Languedoc, they represented a significant portion of the city’s population. Based on the study of fiscal, administrative and notarial sources, this article questions their role and their place in the city in the fourteenth and fifteenth centuries. The demographic weight of peasants, their geographical distribution in the city and the structure of their assets are examined in a first section, which highlights the numerical importance of the urban peasantry and their relative poverty. The second section focuses on work arrangements. Notwithstanding a certain degree of perpetuation of the profession within families, the lauradors and gardeners of Montpellier maintained close links with “urban” professions, particularly artisanal, through marriages and the placement of young people in apprenticeships. Peasants were also civic actors in their community. The lauradors could access various consular offices and had the guarantee, until the end of the fourteenth century, of being represented in the urban Consulate. The main almsgiving event of Montpellier placed the workers of the city, representing the social fabric and embodying reciprocity in charity, given by the humble for the humble.

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)0.001
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.081
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0400.007

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 head0.035
GPT teacher head0.304
Teacher spread0.269 · 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
GenreReview

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
Published2025
Admission routes1
Has abstractno

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