Bioarcheological Indicators Related to Human–Environmental Interactions in a Roman–Byzantine Settlement in Southeast Romania: Ibida Fortress
Bibliographic record
Abstract
The Roman–Byzantine fortress of (L)Ibida (Slava Rusă, Tulcea County, Romania) has preserved archeozoological and archeobotanical remains (i.e., phytoliths) that allowed an evaluation of the human–environmental interactions in that period. Bringing together bioarcheological data, this study contributes to understand the subsistence economy during a period of sociopolitical changes in the region. The stratigraphical sequences and the preliminary observations made on the archeological materials (ceramics, metal artifacts, coins) indicate a relative chronology beginning with the second to third centuries AD and lasting until the sixth century AD. Phytolith analysis highlights the clear domination of the grasses (Poaceae) and indicates the presence of cereals within the fortress. In the surroundings of the fortress, it appears to have existed an open environment. Although modest, the percentage of the Spheroid phytoliths suggests the presence of woody dicots, indicating the fact that the wooded surfaces existed near the fortress. The archeozoological data confirm the fact that the fortress was placed in an open environment, where people bred especially cattle ( Bos taurus) and sheep/goat flocks ( Ovis aries/Capra hircus), and they hunted species such as hare ( Lepus europaeus); also, the forest existed nearby, as indicate the remains of hunted species, among which we found the red deer ( Cervus elaphus) and the wild boar ( Sus scrofa).
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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) | 0.001 | 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".