Revealing the temporal dynamics of fault reactivation in the W-Alpine foreland using in-situ U−Pb dating on calcite
Bibliographic record
Abstract
Long-term study of fault system activity is crucial for understanding the dynamics of orogeny structuring and the formation of peripheral basins, the impact of tectonic inheritance, seismic hazard assessment, and the estimating the coupling of deformation and erosion. At the junction of several orogenic domains, the foreland basin of the Western Alps exhibits a complex structural pattern inherited from the superposition of tectonic events since the late Paleozoic. Despite this knowledge, the absolute age of fault formation and reactivation remains poorly understood, primarily due to the difficulty of dating uranium-poor minerals typically found in sedimentary environments. This study proposes an integrated approach of structural analysis of deformations in the field combined to the recently developed U-Pb in-situ dating method on syn-tectonic calcite to fill this gap. By focusing on the subalpine massifs (from the Vaucluse massif to the Bornes massif), this work aims to constrain the dynamics of the Alpine foreland structuring over a wide temporal and spatial scale. Additionally, this study area presents diverse geodynamic characteristics, making it an ideal site to test the applicability of recent U-Pb in-situ dating methods.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".