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Record W4375814157 · doi:10.18254/s207987840025055-9

About “Ivans of Oblivious Origin”: One of the Strategies of Social Mobility in Eighteenth-Century Russia

2023· article· en· W4375814157 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIstoriya · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPopulationGovernment (linguistics)CensusEmpireGenealogyGeographyHistoryPolitical scienceSociologyDemographyLaw

Abstract

fetched live from OpenAlex

In the Russian legal system, the phenomenon of persons of oblivious origin emerged in the early eighteenth century. During population censuses, enumerators discovered a number of people, unaware of their parents and places of domicile, who subsequently did not belong to any social stratum. Despite its realization that many persons of oblivious origin were in fact runaway peasants and deserters, the government decided to use them to increase its population in different parts of the country instead of returning them to their official localities. At the same time, some runaways independently managed to be added to the census rolls in towns and villages, thereby changing their social status. As a result, the examination of the issue of people of oblivious origin as one of the strategies of deception improves our understanding of adaptation tools and everyday practices, employed by the inhabitants of the Russian Empire.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.668
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.038
GPT teacher head0.313
Teacher spread0.275 · 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