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Record W1541234025 · doi:10.7202/019715ar

The end of “Eskimo land”: Yupik relocation in Chukotka, 1958-1959

2009· article· en· W1541234025 on OpenAlexvenueaboutno aff
Igor Krupnik, Mikhail Chlenov

Bibliographic record

VenueÉtudes/Inuit/Studies · 2009
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsRelocationGeographyPeninsulaPopulationState (computer science)Circumpolar starHistoryPolitical scienceSociologyArchaeologyDemographyOceanography

Abstract

fetched live from OpenAlex

Fifty years ago, in summer 1958, Russian authorities started a program of massive relocation of the Yupik population on the Chukchi Peninsula, Siberia. About 800 people, or roughly 70% of the small nation of 1,100 at that time, were forced to leave their home sites and were moved to other communities. Some basic facts related to the Yupik relocations of the 1950s have been known since the 1960s; but no first-hand narratives of the displaced people were ever published. The paper overviews the closing of the three largest Siberian Yupik communities of Naukan, Ungaziq (Chaplino) and Plover in 1958-1959, and the displacement of their residents as recalled from their memories and personal accounts collected by the authors during the 1970s and 1980s. The paper argues that Soviet Yupik relocations of the 1950s were unprecedented in their scale and traumatic impact, even when compared to other state-initiated resettlement programs that targeted many Inuit communities in Alaska, Canada and Greenland.

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)0.001
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 score0.137
Threshold uncertainty score0.272

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.004
Scholarly communication0.0010.001
Open science0.0000.003
Research integrity0.0010.001
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 head0.066
GPT teacher head0.414
Teacher spread0.348 · 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

Citations22
Published2009
Admission routes2
Has abstractyes

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