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Record W4375841993 · doi:10.4000/pm.4034

Back to Combe-Grèze (La Cresse, Aveyron): New data on the Neolithisation of the Grands Causses region, Southwestern France–abridged version

2022· article· en· W4375841993 on OpenAlexaff
Elsa Defranould, Ingrid Bertin, Laurent Bouby, Stéphanie Bréhard, Joséphine Caro, Jean-Michel Carozza, Jessie Cauliez, Fabien Convertini, Frédérique Durand, Auréade Henry, Mathieu Lejay, Claire Manen, Guillaume Roguet, Jean‐Denis Vigne, Antoine Zazzo

Bibliographic record

VenuePréhistoires méditerranéennes/Préhistoires méditerranéennes/Préhistoire anthropologie méditerranéennes · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsCégep de Rivière-du-Loup
Fundersnot available
KeywordsPalimpsestArchaeologyChronologyGeographyPlateau (mathematics)Phytolith

Abstract

fetched live from OpenAlex

The small shelter of Combe-Grèze, located in a dolina of the Causse Noir plateau about ten kilometres northeast of Millau in Southwestern France, was first excavated in the second half of the 20th century, and more recently has been subject to new investigations by the authors of this contribution. The site was repeatedly occupied during the Holocene and has been widely referred to in neolithisation scenarios regarding the Mediterranean hinterlands. However, fieldwork carried out over the last few years in the area outside the shelter and the reevaluation of ancient collections stemming from the site have largely modified previous interpretations and evidenced that the site reveals a palimpsest of occupations. We therefore propose here an updating of the available data concerning the site, more particularly with regard to the nature of its occupational stages, its chronology, and the material production associated with the different occupations, the exploited resources, and the palaeoenvironmental reconstructions.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.001

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 head0.061
GPT teacher head0.323
Teacher spread0.262 · 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
Published2022
Admission routes1
Has abstractyes

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Same venuePréhistoires méditerranéennes/Préhistoires méditerranéennes/Préhistoire anthropologie méditerranéennes→Same topicPleistocene-Era Hominins and Archaeology→French-language works237,207→