Bibliographic record
Abstract
Abstract. We present the first paleoseismological results along the Fiandaca Fault, the source of the 26 December 2018, Mw 4.9 Fleri earthquake. We excavated two exploratory trenches along the coseismic surface ruptures at the Collegio Fiandaca site. Analysis of trench walls allow identifying, besides the 2018 event, two historical surface faulting events. The youngest one occurred in the period 1281–1926 CE, and most likely during the1894 Fiandaca earthquake. The oldest one, previously unknown, occurred in the Early Middle Ages (757–894 CE). This paleoseismic evidence strongly suggest increased seismic activity along the Fiandaca Fault in the last centuries. In order to verify this hypothesis, we conducted detailed morphotectonic analyses and throw rate measurements along the Fiandaca and other capable normal faults in the Mt. Etna eastern flank. Throw rates mean values show an increase from 1.4 mm/yr during the 15–3.9 ka time interval to 3.4 mm/yr between 3.9 ka and the Greek-Roman period, with a further increase since the late Middle Ages, reaching 10 mm/yr. This trend suggests a very recent growth in flank instability, in agreement with current geodetic data but also with historical eruptive activity. These findings highlight an increase of the associated geological hazards along the inhabited eastern flank, emphasizing the need for further research and a multi-hazard approach to risk assessment and land planning for Mt. Etna and similar volcanic regions.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.016 | 0.008 |
| Insufficient payload (model declined to judge) | 0.465 | 0.367 |
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".