TIPURI DE CERCEI DIN SECOLELE VII-VIII DESCOPERIȚI PE TERITORIUL TRANSILVANIEI
Bibliographic record
Abstract
The article presents earrings from the 7th-8th centuries, discovered within the territory of Transylvania. The earrings were found in Avar cemeteries, in Slavic-Avar bi-ritual cemeteries as well as in settlements. Most earrings come from Avar graves, compared to those in bi-ritual cemeteries. The number of earrings is extremely small, both at the level of all the bi-ritual cemeteries in the Transylvanian Plateau and at the level of each particular archeological site. Earrings were discovered in only five settlements in Transylvania. Various types of earrings have been discovered in Transylvania, from the simplest ones that are ring-shaped, sharpened at the ends and made of wire or round bar, to those with a stellar pendant or earrings with a moon-shaped pendant. Almost all the artifacts have analogies in the territory of the Avar Khaganate in the Carpathian Basin but also in the area of the Lower Danube basin and in Bulgaria. The presence of earrings in graves is due, in part, to the fact that the deceased were buried with all the clothing accessories and adornments, including the earrings that one wore during one's life. On the other hand, the presence of earrings in graves and the custom of depositing these objects in funeral complexes are due to the deposits made by the families of the deceased at the time of their burial. The earrings were worn by women and to a lesser extent by men and children.
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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 | 0.001 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".