Money «for the remuneration of works and losses» for Krzysztof Zawisza the warden of Minsk and his dispute with the Lithuanian treasury in the first quarter of the 18th century
Bibliographic record
Abstract
The article presents the efforts of Krzysztof Zawisza the warden of Minsk to receive the money promised to him by August II. It was a gift from the king to reward the loyalty and service that Zawisza gave to the monarch. It took over 20 years to get the money because Michal Kociell the Lithuanian treasurer was the personal enemy of Zawisza. Nevertheless some part of the promised sum went to his hands. The purpose of the article is to show the conflict over the payment of money, and in this example to show the specificity of political relations in the Grand Duchy of Lithuania and the Polish-Lithuanian Commonwealth at the turn of the 17th and 18th centuries. The article is based on archival materials and raises an important topic for the history of the former lands of the Grand Duchy of Lithuania.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".