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Record W7131905750 · doi:10.17223/2312461x/42/2

Russian America, Russian California, and the problems of the typology of colonialism

2023· article· ru· W7131905750 on OpenAlexfundno aff
Алексей Александрович Истомин

Bibliographic record

VenueDigital library (repository) of Tomsk State University · 2023
Typearticle
Languageru
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
FundersUniversity of OxfordQueen's UniversityRoyal Historical SocietyMcGill University
KeywordsTypologyColonialismSubject (documents)

Abstract

fetched live from OpenAlex

Рассматривается место российской колонизации Аляски и Калифорнии в рамках типологии колониализма в Новом Свете, где можно выделить пять типов колониального развития, ареалы которых не совпадают с национально-государственными границами колониальных империй: испаноамериканский «горный», испаноамериканский миссионный, плантационно-рабовладельческий, тип «белого замещения», субарктический торговый. В Русской Америке представлено два из них: «островная» модель имеет аналогом испанское репартимьенто, на материковой Аляске представлен субарктический тип, аналогичный канадскому. Несмотря на генетическую связь колонизации Сибири и Русской Америки, распространение на восток сибирской модели колониализма натолкнулось на экологический и социокультурный барьеры. В Русской Калифорнии (колония Росс, Форт-Росс) формировался особый вариант островной модели, где основанием социальной пирамиды были местные индейцы.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.014
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.173
Teacher spread0.169 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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