Villa Rustica from Rapoltu Mare-La Vie (Hunedoara County). Preliminary Zooarheological Data
Bibliographic record
Abstract
The article analyzes a fauna sample collected from a villa rustica in Rapoltu Mare, Hunedoara County. The material was gathered during the 2014–2017 seasons consisting of 1,406 fragments, 1,049 of which are fragments from the Roman levels (2nd–3rd centuries AD), and 357 are post–Roman fragments. Cattle dominate the Roman Phase I sample with 33.33%, followed by sheep/goats with 22.22% and pigs with 16.66%. Cattle dominate as fragments in the phases II–III, accounting for 32.02%, followed by small ruminants with 28.43% and pigs with 26.47%. The bones of the dog total 1.31%, while those of the horse, 6.21%. Hunting was a recreational activity, used to obtain furs, hides, antlers, with little impact on food supplying. Hunted prey includes hare, roe deer, red deer, beaver and various small carnivores. Sheep and goats account for 34–37% (NISP/MNI) of livestock at the post-Roman level, followed by pigs (26–27%) and bovines (18–24%). The horse has a threefold quota in comparison with the Roman levels, about 13–15%.
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 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".