Studying the Significance of Subaqueous Slides in Lake Hallstatt. (UNESCO World Heritage Cultural Landscape, Austria). S4LIDE - Hallstatt - PROJECT REPORT
Bibliographic record
Abstract
This ÖAW S4LIDE-Hallstatt project was conducted within the broader context of the IUGS-UNESCO International Geoscience Programme (IGCP) Project 640 - S4LIDE: “Significance of Modern and Ancient Submarine Slope LandSLIDEs” and piggy-backed the Hipercorig-Hallstatt-History (H3) Drilling Project that logged and sampled Lake Hallstatt´s complete Late Pleistocene-to-Holocene stratigraphic succession with a new innovative hydraulic coring system. With a dedicated focus on subaquatic landslide deposits we aimed at systematic investigation of mass transport deposits (MTD) embedded in the sedimentary sequence of Lake Hallstatt by state-of-the-art reflection seismic surveys, borehole logging and core scanning and dating techniques. We achieved establishment of an unprecedented long-term (spanning >11.500 years), high-resolution core-log-seismic-integrated event stratigraphy record of subaqueous mass movements in this intra-mountainous lake characterized by clastic input and very high sedimentation rates. Considering Lake Hallstatt as “natural laboratory” representative for other high-sedimentation rate environments, the new well-dated long-term record of subaquatic landslides will be added to the global datasets contributing to and continuing the international research efforts to address some of the most pressing research questions on geohazard, environmental implication and economic significance of submarine landslides, as tackled by the broad international research community within the IGCP-640 S4LIDE project.
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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) | 0.003 | 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".