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Record W6981392690

Egy leánynegyedper és a valkói uradalom a 16. században [A daughter’s quarter trial and the Valkó manor in the 16th century]

2024· article· en· W6981392690 on OpenAlexaboutno aff

Bibliographic record

VenueRepository of the Academy's Library (Library of the Hungarian Academy of Sciences) · 2024
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Settlement (finance)EstateHuman settlementReal estate
DOInot available

Abstract

fetched live from OpenAlex

The essay presents and analyzes the public estimation documents stemming from a 16th-century trial within the Bánffy family involving a daughter’s quarter and a section of the Valkó manor in Kraszna County. The documents created during the trial, transcribed in the form of deeds of privileges in 1588, throw a light on the legal system of Transylvania and its characteristics, and the estimation in question in one of the transcribed diplomas can be regarded as significant in terms of estate and agrarian history. The voivode’s representative, sent to execute the trial decisions, and the witnesses of the Várard chapter surveyed the estate part of Ferenc Bánffy in 12 settlements and separated the daughter’s quarter from this. Not every settlement of the Valkó manor visited appears in the estimation, but it lists the landowners of each village, the stone or wooden churches, mills, wells, springs and the forests belonging to the estate.

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)0.001
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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.017
GPT teacher head0.251
Teacher spread0.233 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueRepository of the Academy's Library (Library of the Hungarian Academy of Sciences)Same topicSystemic Sclerosis and Related DiseasesFrench-language works237,207