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Record W4312401143 · doi:10.4000/rao.8809

Les Poiriers, un établissement rural médiéval au nord-ouest de Laval (Mayenne) (fin xe-xiie s.)

2022· article· fr· W4312401143 on OpenAlexaboutno aff
Marie Queru

Bibliographic record

VenueRevue archéologique de l Ouest · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicMedieval Architecture and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Le site des Poiriers, localisé au nord-ouest de Laval, en Mayenne, est marqué par la présence d’un enclos fossoyé subcirculaire, d’environ 1 045 m², associé à un petit enclos secondaire, ainsi qu’à plusieurs fosses et trous de poteau situés aussi bien à l’intérieur qu’à l’extérieur des espaces fossoyés. Ceux-ci ont donné lieu à cinq propositions de restitution de bâtiments. Parallèlement, deux phases de fonctionnement ont pu être mises en évidence, la première attribuée à la fin du xe s. et la seconde aux xie-xiie s. Si cet établissement présente des caractéristiques le rapprochant clairement d’habitats ruraux privilégiés (enceinte fossoyée, bâtiments importants…), il en diffère toutefois également sur certains points particuliers (précocité, superficie enclose, absence de certaines structures…), ce qui amène à rester prudent quant à son identification. Ainsi, l’hypothèse d’un site de traitement des récoltes ou autre production agricole peut aussi être envisagée, sans plus de certitudes, comme cela a déjà été proposé pour des sites comparables.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.249
Teacher spread0.222 · 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 designObservational
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

Citations1
Published2022
Admission routes1
Has abstractyes

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