O prawniczych kompetencjach Ignacego Czerwińskiego w świetle opinii profesjonalistów. Przewodnik testatora w komentarzach Antoniego Rosbierskiego
Bibliographic record
Abstract
Ignacy Czerwiński’s legal competences in the light of the opinions of professionals: Przewodnik testatora in Antoni Rosbierski’s commentsIn this article I present the opinions of Antoni Rosbierski 1764–1815, a jurist educated in Vienna, who worked in the area of the Kingdom of Galicia and Lodomeria inter alia as a councillor of court for the aristocracy in Lvov, on the subject of one of the first books of Ignacy Czerwiński 1749–1836, an active lawyer and, later, the author of Okolica Za-dniestrska 1811 which is considered to be the first ethnographic monograph. In Annales Jurisprudentiae pro Regnis Galiciae et Lodomeriae Rosbierski published in Latin a review of Czerwiński’s Przewodnik testatora [A testator’s guide], published in 1818 in Lvov. Until now, it has not been a subject of further studies. Both publications can be considered important sources for the evolution of positive laws in 19th-century Galicia that provide insight into the law culture of that time, which is an important element of the intangible cultural heritage of any society. For this reason, the publication is worth reminding of. Przewodnik testatora may be interesting not only to jurist specialists but also to those researchers of Polish culture who are interested in the problem of the relation between law and custom. It was one of many attempts at giving an answer to the question of how to counteract denationalization in the face of the sudden loss of sovereignty and extensive surveillance systems.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".