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Record W7115272180

Deux établissements ruraux gaulois et gallo-romains du territoire des Dirons : “la Roche Deniau” à Parçay-Meslay et “la Cave Blanchette” à Monnaie (Indre-et-Loire)

2015· article· fr· W7115272180 on OpenAlexaboutno aff

Bibliographic record

VenuePersée (Ministère de lEnseignement supérieur et de la Recherche) · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Human settlementSettlement (finance)CavePeriod (music)
DOInot available

Abstract

fetched live from OpenAlex

Late iron age and early roman settlement development in the Turones’ territory : "la Roche Deniau’ in Parçay-Meslay and “la Cave Blanchette" in Monnaie (Indre-et-Loire) Two sites excavated at Monnaie and Parçay-Meslay (Loire valley) can trace the evolution of farming settlements during about six centuries, between 180 BC and 425 AD. Five periods have been identified. The first two are characterised by rural settlements that developed between the founding of the first enclosed farm circa 180 BC and the first quarter of the 1st century AD. During the next period, from around 25 AD to 60-70 AD, significant changes took place before the Late Iron Age enclosure system was abandoned. Masonry buildings were erected during the fourth period which lasted from the late 1st century AD to the beginning of the 3rd century AD, making a clean sweep of previous installations. Among these buildings, an unusual one had two compartmentalised internal spaces reminiscent of Horrea plans. The last period, poorly documented, corresponds to the late 4th to early 5th century settlement.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.086
GPT teacher head0.347
Teacher spread0.261 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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Same venuePersée (Ministère de lEnseignement supérieur et de la Recherche)Same topicAncient and Medieval Archaeology StudiesFrench-language works237,207