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Formation of Regional Public Organizations in Last Quarter of XIX — Early XX Century (Tomsk Province)

2020· article· en· W3118131270 on OpenAlexaboutno aff
A. V. Филимонов

Bibliographic record

VenueNauchnyi Dialog · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsBureaucracyQuarter (Canadian coin)PoliticsState (computer science)Public administrationCharterWork (physics)Government (linguistics)Civil servantsPolitical scienceLocal governmentAdministration (probate law)Civil societyEmpireLawGeographyEngineering

Abstract

fetched live from OpenAlex

The activity of officials on the formation of public non-political organizations of the Tomsk province in the last quarter of the XIX — early XX centuries is considered. The picture of the current state of research of public organizations and officials of the Russian Empire is presented. Based on the analysis of a number of published and unpublished sources, examples of the participation of representatives of the Tomsk administration in the process of creating various societies are revealed. The features of interaction of officials with representatives of the local society (scientists, political exiles, merchants, industrialists), as well as with city government bodies are highlighted. The main forms of the contribution of the Tomsk bureaucracy to the creation of societies are determined: the development of a charter, a petition to the state to open an organization, a search for like-minded people, and financial support. The author establishes the main reasons for the participation of employees of administrative institutions of the Tomsk province in the formation of new societies: job responsibilities, joint initiative with members of the public, personal interest. A correlation was found between the direction of work of some organizations and the official and non-official activities of civil servants. In general, the potential for establishing interaction between officials and the local community in the process of creating non-political organizations was noted.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.249
Teacher spread0.223 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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