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Record W6993015580

Nezastavěné plochy a krajinná evoluce oppid v Porrey a v Bibracte

2023· other· en· W6993015580 on OpenAlexaboutno aff

Bibliographic record

VenueBrno University of Technology Digital Library (Brno University of Technology) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsExcavationBronze AgePeriod (music)Human settlementSummitErosionTrenchFluvialQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

The case studies of two French oppida, Porrey and Bibracte, open the way to unanswered questions related to their functions. The field research carried out within the Oppidum as Urban Landscape program represented a multidisciplinary approach to the study of the area and the reopening of two ancient test pits in the sectors of Porrey and Verger, two areas favorable for the construction of settlements but lacking convincing evidence of occupation. Also, the evolution of the landscape around the Bibracte oppida from the Late Iron Age to the post-medieval period was related to the sudden emergence of a network of large fortified towns, known as oppida. The trench excavations at the Bibracte oppidum and the operations in the Porrey and Verger sectors were accompanied by geophysical surveys of the adjacent test pits of the summit mound dating from the mid and third quarter of the 1st century BC. The archaeological excavation of the oppida, dating from the Late Iron Age to the Early Roman period, has focused exclusively on the original areas. The sediment sequences mark human- induced erosion and geomorphological changes in the 4th-1st centuries BC.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0200.011
Science and technology studies0.0000.008
Scholarly communication0.0000.003
Open science0.0080.007
Research integrity0.0060.002
Insufficient payload (model declined to judge)0.0030.006

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 head0.005
GPT teacher head0.160
Teacher spread0.155 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueBrno University of Technology Digital Library (Brno University of Technology)French-language works237,207