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Record W4200440157 · doi:10.47074/hsce.2021-2.03

The Beginnings of the Cooperation of Free Royal Towns in the Kingdom of Hungary in the Sixteenth and Seventeenth Centuries

2021· article· en· W4200440157 on OpenAlexaboutno aff
István Németh

Bibliographic record

VenueHistorical Studies on Central Europe · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHungarian Social, Economic and Educational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMonarchyBattleQuarter (Canadian coin)PoliticsKingdomAncient historyState (computer science)LeagueEconomic historyCompromiseEmpireAutonomyHistoryPolitical scienceEconomyLawArchaeologyEconomics

Abstract

fetched live from OpenAlex

The study presents the possibilities and framework for cooperation between towns in Hungary through the operation of the Town League of Upper Hungary. The cooperation of towns in the Kingdom of Hungary happened primarily through regional relations. At first, the basis for cooperation was provided by common economic interests, but this area broadened considerably in the sixteenth and seventeenth centuries. After the battle of Mohács (1526), the towns of Hungary became full members of the Hungarian Estates. The Kingdom of Hungary, which was part of the Habsburg Monarchy, gained considerable autonomy in internal politics. This was based on a compromise with the Habsburg rulers to ensure protection against the Ottoman Empire. The free royal towns were the least influential members of this country that had strong Estates. Nevertheless, cooperation between the towns became nationwide. The diets provided the forum for all free royal towns in the country to represent their common interests in a coordinated way. There are traces of this nationwide cooperation as early as the mid-sixteenth century, but it was from the early seventeenth century that it was the strongest. The reason was that in those decades state taxes were becoming heavier and more burdensome for towns. This nationwide cooperation was not only manifested in the field of taxation, but from the first quarter of the seventeenth century onwards, it increasingly extended to religious matters. In the background, there was the increasing recatholization of the Habsburg Monarchy. In this special matter, close links were forged also with the otherwise strongly anti-urban lower nobility.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.289
Teacher spread0.245 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2021
Admission routes1
Has abstractyes

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