Underwater Surveys in Northern Menorca: Material Assemblages and Shipwrecks
Bibliographic record
Abstract
A plethora of archaeology currently resides unfound at the bottom of the Mediterranean Sea. Artifacts and material assemblages distributed throughout this sea serve as preserved time-capsules, representing a relatively underrepresented source of historical and archaeological analysis. This paper analyzes shipwrecks of the Balearic Sea along Menorca’s coastline to foreground the role that archaeology plays in reconstructing historical trade routes and ancient climatic during the late Roman period (4th – 7th CE). Implementation of this research occurred in the summer of 2016, using methodologies of underwater survey to investigate Menorcan shelf bathymetry and material evidence. Position fixing and visual search techniques formed the bulk of methodological fieldwork, principally completed underwater through scuba diving. Complementing this study and its framework is the use of materiality from the adjoining Roman sites of Sanisera and Port de Sanitja. Pairing material analysis of unearthed amphorae with geospatial study allows for a partial recreation of ancient maritime climates and sea conditions, as well as macroeconomic scenarios of Menorcan late antiquity. Such an investigation opens up untouched and unobserved histories.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".