Survey Techniques and Landscape Archaeology on the Banks of the Ancient <i>Lacus Ligustinus</i> (Southern Spain)
Bibliographic record
Abstract
The use of complementary techniques in this paper contributes to a better understanding of the long-term evolution of the riparian landscape on the southern banks of the lacus Ligustinus (current Guadalquivir marshlands) through the knowledge of related human settlements. The techniques used included field-transect surveys, malacology, anthracology, radiocarbon dating, and magnetometry. Deep plowing at the archaeological site of Haza de Santa Catalina revealed vestiges of different time periods. Comprehensive datasets based on best archaeological practices were collected to explore holistic ecological perspectives and changes over time. Here, we focus specifically on the transition between the 4th and 3rd millennia (Neolithic) and the 1st millennium b.c. (Iron Age–Early Roman period) in western Andalusia. In addition, the theoretical frameworks related to the concepts of riparia and emptyscape are expanded with the knowledge gained in the archaeological fieldwork.
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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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".