Excavacions arqueològiques a la ciutat grega d'Emporion (2018-2021) i el projecte Groundcheck 'Ampurias' Future - Learning from the Past: desenvolupament del nivell del mar i canvi climàtic des del 5500 aC fins al 2100 dC.': informe preliminar
Bibliographic record
Abstract
Between 2019 and 2021, the Madrid Department of the German Archaeological Institute (DAI Madrid) and the Empúries branch of the Museu d'Arqueologia de Catalunya (MAC Empúries) carried out a diachronic and multidisciplinary research project in Empúries (l'Escala, Girona) and its surroundings. The work is part of a cooperation agreement between these two institutions, which since 2020 has been receiving a particular impulse from the DAI project "Groundcheck - Cultural Heritage and Climate Change". The research is still ongoing; this article offers a first account of the results and insights gained so far. We would like to highlight the data about Emporion, particulary the first Greek settlement in the vicinity of the beach for which it was possible to determine phases and subphases beginning in the third quarter of the 6th century BC as well as the nearly complete ground plan of a Greek house from the third quarter of the 6th century BC. Geophysical-bathymetric tests identified rock formations, which once served to protect the buildings on the coast against the open sea. Geological and geographical studies, together with earlier geo-archaeological research, enabled us to reconstruct the palaeolandscape of the region from the Neolithic onwards and to visualise scenarios from the most important historic-cultural phases of the last 7500 years by means of an interactive 3D model; taking the 2021 calculations of the IPPC (Intergovernmental Panel on Climate Change) into account, it was also possible to make a prognosis about future floodings as a result of the rising sea level and the increasing number of storm surges
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".