Holocene palaeoenvironmental evolution of the Médoc peninsula (SW France): insights from the sedimentological study of the “Lède du Gurp” archaeological site
Bibliographic record
Abstract
High coastal erosion rates along the beaches of the Médoc peninsula urge for the study of the Pleistocene and Holocene deposits buried under the modern dune. Those deposits are known to be exceptionally rich in archaeological remains (from the Mesolithic at least). The aggressive predation of these fossil deposits by the sea explains the urgency of exploring their content and their sedimentological history. Within these formations, the “Lède du Gurp” archaeological site located on the shore, on the administrative boundary of Soulac-sur-Mer and Grayan-et-l’Hôpital, is of tremendous value for palaeogeographical and palaeoenvironmental reconstructions of the Médoc peninsula. This site has preserved remains of dense anthropic activity but also evidence of the history of the estuary’s migration before our contemporary era (i.e. recent centuries). Here we present results of new sedimentological investigations conducted as part of the LITAQ project on and around the site. Continuous and undisturbed sections several metres thick (up to 3.5 m) have been obtained by sampling (sediment slides) and coring operations in the field and studied for their lithostratigraphy (using classic and X-ray imaging coupled with spectrocolorimetry, X-ray fluorescence and grain-size analyses together with radiocarbon dating) along with simultaneous archaeological investigations. Our study refines the palaeoenvironmental evolution of the site over at least the Neolithic period and supports previous interpretations of the origin of these atypical lithofacies, i.e. the deposition of a thick Holocene sequence of clays and peats in a depression associated with karstification processes. Our new datings and observations suggest the possible occurrence of a thermokarst system during the coldest phases of the last deglaciation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".