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Record W2604204045 · doi:10.15184/aqy.2017.22

Investigating the proposed sanctuary near the volcanic Lago di Venere, Pantelleria, Italy, in 2014 and 2015

2017· article· en· W2604204045 on OpenAlexafffund
Carrie Ann Murray, Clive Vella, Thomas M. Urban, Maxine Anastasi

Bibliographic record

VenueAntiquity · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsBrock University
FundersBrock University
KeywordsArchaeologyShoreMediterranean climateVolcanoExcavationCalderaStructural basinGeographyPeriod (music)GeologyPaleontologyOceanography

Abstract

fetched live from OpenAlex

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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.032
GPT teacher head0.261
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2017
Admission routes2
Has abstractyes

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