Investigating the proposed sanctuary near the volcanic Lago di Venere, Pantelleria, Italy, in 2014 and 2015
Bibliographic record
Abstract
The longue durée of human activity on the island of Pantelleria represents an important locus of ancient cultural interaction in the Strait of Sicily. This narrow channel in the central Mediterranean has played a major and continuous role in human relations between Italy, Sicily and North Africa since the Neolithic period. Use or control of the Pantelleria has been pivotal for a number of cultures over time, each leaving a lasting impression on the landscape and the people of the island (Figure 1). The volcanic geology of Pantelleria has determined the shape of its landscape and is responsible for the creation of the collapsed-caldera basin and lake that form the study area of this project. The Brock University Archaeological Project at Pantelleria (BUAPP) is working in the Lago di Venere area, examining past human activity on the north-eastern lake shore. A previous project in the Lago di Venere area (1998–2002) interpreted the site as a Punic and Roman sanctuary (Audino & Cerasetti 2004; Cerasetti 2006). Our project complements this and other archaeological investigations of the island's classical past, including the ongoing excavations on the Acropolis, near the main harbour, which have revealed the remains of the island's Punic and Roman centre (Schäfer et al. 2015).
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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) | 0.002 | 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".