Bibliographic record
Abstract
Novejše raziskave na območju svetolucijske halštatske kulturne skupine, poimenovane tudi kot posoška skupina, ki je poseljevala razen zgornjega Posočja tudi Bohinjski kot, Cerkljansko in zgornjo dolino Nadiže, so pokazale, da je bila poseljenost mnogo gostejša, kot je bilo znano pred tem, kar zadeva predvsem sredogorje Julijskih Alp. Glede na doslej odkrite drobne najdbe sklepamo na poselitev teh predelov v kasnem obdobju svetolucijske skupine. V obdobju, ozna- čenem kot stopnja Sv. Lucija IIa–b, je opazen tudi gospodarski vzpon naselbine na Mostu na Soči kot protourbanega središča celotne kulturne skupine, ki je bila po vsej verjetnosti teritorialno organizirana. Na osnovi doslej opravljenih analiz nekropole na Mostu na Soči pa so predstavljeni na eni strani kazalci vplivov in stikov svetolucijske skupine s sosednjimi in tudi zelo oddaljenimi kraji oz. kulturnimi skupnostmi, na drugi strani pa indikatorji družbene strukturiranosti in diferenciranosti. Pomemben nov element v okviru ritualno-religiozne sfere pa predstavljajo arheološka najdišča v nenavadnih naravnih okoljih, za katere se ponuja razlaga o svetih krajih, kjer so se odvijali posebne vrste zaobljubni obredi. Na koncu je postavljeno tudi vprašanje o pismenosti in etnični pripadnosti svetolucijske halštatske skupnosti.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.005 |
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".