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Record W7116862980 · doi:10.3917/hsr.040.0155p

Benoît Grenier , Brève histoire du régime seigneurial, Montréal, Boréal, 2012, 245 p.

2013· article· W7116862980 on OpenAlexaboutno aff
Emmanuelle Charpentier

Bibliographic record

VenueHistoire & Sociétés Rurales · 2013
Typearticle
Language
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Work (physics)Identification (biology)Closure (psychology)

Abstract

fetched live from OpenAlex

La rareté des journaux rédigés par les paysans, notamment pour l’Ancien Régime, renforce l’intérêt de leur publication. Celui-ci n’émane pas de l’élite paysanne mais d’un laboureur pluriactif comme il y en avait tant au xviiie siècle en Haute-Normandie. Installé à Bueil, dans la vallée d’Eure, tout à la fois laboureur, vigneron, engraisseur de moutons, prestataire de services, etc., François Jacques Maret note scrupuleusement ses relations d’affaires dans ce qui est en fait un livre de comptabilité qui s’échelonne sur trente ans. On y retrouve des éléments sur les récoltes et les ventes de celles-ci (du vin notamment mais aussi du poisson), les achats et cessions de bestiaux, tout particulièrement des moutons qui sont devenus sa grande préoccupation. Sous sa plume, on saisit également les modalités et la durée des paiements, qu’il s’agisse des salaires des domestiques ou journaliers, ou du règlement des marchés auxquelles il se trouve mêlé, comme vendeur ou acheteur, voire emprunteur..

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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.052
Threshold uncertainty score0.325

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.010
Science and technology studies0.0080.005
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0360.008

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 head0.013
GPT teacher head0.232
Teacher spread0.218 · 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".

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Citations0
Published2013
Admission routes1
Has abstractno

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