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SKIPPER-GRUMANLANER FILAT VOZHEVOLNY: STAGES OF BIOGRAPHY IN THE CONTEXT OF RUSSIAN DEVELOPMENT OF THE ARCHIPELAGOS AND ISLANDS OF THE ARCTIC IN THE LAST QUARTER OF THE XVIII – EARLY XIX CENTURY

2022· article· en· W4362687267 on OpenAlexaboutno aff
S.A. Nikonov

Bibliographic record

VenueIzvestiya of Samara Scientific Center of the Russian Academy of Sciences History Sciences · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArchipelagoBiographyFishingContext (archaeology)Quarter (Canadian coin)HistoryArcticGeographyThe arcticArchaeologyArt historyOceanographyPolitical scienceLawGeology

Abstract

fetched live from OpenAlex

The author examines the biography of the skipper Filat Vozhevolny, the son of Semen, who was engaged in fishing in the archipelagos of Spitsbergen (Grumant) and Novaya Zemlya in the late XVIII – early XIX centuries. The study of the biographies of individual fisherman-hunters makes it possible to understand the peculiarities of the organization of fishing, to identify personal and professional qualities, without which it was impossible to participate in long and dangerous expeditions to the polar archipelagos. Filat Vozhevolny went fishing from Onega and Arkhangelsk merchants, Vygoretsky old Believer community, and in 1808-1810 he sailed to Novaya Zemlya under the flag of the White Sea Company. In the personality of the skipper, knowledge of navigation, fishing and hunting was combined with adventurism and a penchant for risk, which endangered the life of not only himself, but also of the artel entrusted to him.

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)0.000
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 score0.020
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.266
Teacher spread0.237 · 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
Published2022
Admission routes1
Has abstractyes

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