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Record W3035341485 · doi:10.17684/i11a163en

On the old archive of the Lăpușna County Court and on its 2345 documents from the 15th–19th centuries

2020· article· en· W3035341485 on OpenAlexaboutno aff
Petronel Zahariuc

Bibliographic record

VenueDiacronia · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsQuarter (Canadian coin)HistoryRomanianTheme (computing)State (computer science)Library scienceClassicsLawPolitical scienceComputer scienceArchaeologyPhilosophyWorld Wide WebLinguistics

Abstract

fetched live from OpenAlex

On July 10, 1926, the First-President of the Lăpușna Court, judge Eugen Ionescu-Dârzeu and the regional manager of the Romanian Archives, L. T. Boga, signed the acceptance protocol for the old archive of the Lăpușna Court, which comprised around 2,345 documents. During the inventorying process, L. T. Boga and the archivists in Kishinev typed several copies of an opis, of which one (copy No. 3)—which I feature here—ended up in the collections of the Romanian Academy Library, probably from the archive of judge E. Ionescu-Dârzeu. Currently, this collection was integrated to Fund 220 within the Kishinev Archives. Following a global appraisal of the documents published from this archive, I may state that around a quarter of them (approximately 500) were edited, mainly by L. T. Boga and by the editors of the collection Moldova în epoca feudalismului. It is the responsibility of present or future researchers to edit integrally or as abstracts, on a theme-based or chronology-based approach, other documents within this collection. Until the fulfilment of this desideratum, the critical editing of this opis introduces in the scientific circuit around 2,000 documents, as abstracts. This important archival work tool comprises unpublished information about the history of Moldova, mostly of the regions left from the Pruth River, before and after 1812, concerning both the political and social history and the local history, the toponymy or the genealogy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.815
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.031
GPT teacher head0.224
Teacher spread0.193 · 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 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
Published2020
Admission routes1
Has abstractyes

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