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Record W2731415029 · doi:10.17223/15617793/418/9

THE MEMBERSHIP OF DISTRICT COURTS IN TOBOLSK AND TOMSK PROVINCES IN THE FIRST QUARTER OF THE 19TH CENTURY

2017· article· en· W2731415029 on OpenAlexaboutno aff
Vitaliy A. Voropanov

Bibliographic record

VenueVestnik Tomskogo gosudarstvennogo universiteta · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicEconomic, Social, and Public Health Issues in Russia and Globally
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)GeographyHistoryAncient historyArchaeology

Abstract

fetched live from OpenAlex

В.А. Воропанов СОСТАВ КОЛЛЕГИЙ УЕЗДНЫХ И ОКРУЖНЫХ СУДОВ В ТОБОЛЬСКОЙ И ТОМСКОЙ ГУБЕРНИЯХ В ПЕРВОЙ ЧЕТВЕРТИ XIX в.Управление кадрами государственной гражданской службы в областях Сибири являлось особым направлением деятельности царского правительства.В статье использованы

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.000
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 head0.039
GPT teacher head0.317
Teacher spread0.279 · 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 designObservational
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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

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