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Record W7116862188 · doi:10.15181/ahuk.v46i0.2783

Tauragės valda Lietuvoje Prūsijos rankose (1691–1793): savito statuso vaizdavimas XVIII amžiaus žemėlapiuose | The Tauragė Estate in Lithuania under Prussian Ownership (1691–1793): The Depiction of its Distinct Status on 18th-Century Maps

2025· article· en· W7116862188 on OpenAlexaboutno aff
Laima Bucevičiūtė

Bibliographic record

VenueActa Historica Universitatis Klaipedensis · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Cultural Studies of Poland
Canadian institutionsnot available
Fundersnot available
KeywordsDepictionEstatePoliticsCommonwealthReal estateQuarter (Canadian coin)Power (physics)Ambiguity

Abstract

fetched live from OpenAlex

Although Janusz Radziwiłł (1612–1655), the Voivode of Vilnius and Grand Hetman of Lithuania, managed to acquire the Tauragė estate on the Lithuanian border with Prussia in the early 1650s, it was just before his death. His granddaughter Ludwika Karolina (1667–1695), who inherited the titles from his daughter Anna Maria (she passed away at an early age), was raised in Berlin and married the son of the Elector Friedrich Wilhelm (1620–1688) there in 1681. The Elector of Brandenburg decided to use this connection to renew his claim to the Tauragė estate (his father Georg Wilhelm had sold it in 1639). In 1688, Ludwika Karolina signed a document in Potsdam renouncing her inheritance rights to the Tauragė estate in favour of the Elector, and this was confirmed in 1691 by a court in Lithuania. Manfred Hellmann, who published a study on Prussian control of Tauragė in 1940, revealed the ambiguity that arose as a result: although Tauragė continued to belong to the Polish-Lithuanian Commonwealth, it was in fact controlled by Prussia, whose monarch became the owner of private land in the Commonwealth and had to pay the usual taxes and duties there. The article examines whether or not this political ambiguity was reflected in the depiction of the Tauragė estate on 18th-century maps. The research shows that this depiction was equally ambiguous: while some maps showed Tauragė as a part of Prussia, others did not emphasise the connection at all, continuing to show that the estate belonged to the Grand Duchy of Lithuania.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.017
GPT teacher head0.210
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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