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Record W221392965 · doi:10.18999/forids.40.79

Migrants and Borderland Identity: A Comparative Study of Japanese Communities in British Columbia and the Priamur Region in the 1870s-1900s

2011· article· en· W221392965 on OpenAlexaboutno aff
Igor Saveliev

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)GeographyGender studiesEthnologyGenealogyPolitical scienceHistorySociology

Abstract

fetched live from OpenAlex

In the mid-19th century, the building of modern nation states, the rise of the international state system and the completion of border demarcation around the world obliged governments to pay special attention to the enforcement of newly acquired borderlands and to establish policies for their successful integration into the state. Two such regions, British Columbia and the Priamur Region, joined Canada and Russia respectively at almost the same time, 1871 and 1858-1860. Basing on primary sources collected in Canadian and Russian archives and other sources, the present paper attempts to contribute to the discourse on borderland identity, exploring the role the East Asian and particularly Japanese migrants played in the construction of the regional identity of the two borderland regions-British Columbia and the Priamur Region. The study investigates the contradiction between the development of the region and the identity-based concept of immigration and naturalization policy. This paper also tries to answer, how East Asian and particularly Japanese migrants contributed to the crystallization of the regional borderland identity and to analyze the similarities and differences in the policies of the two countries.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.001
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 head0.048
GPT teacher head0.293
Teacher spread0.245 · 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 teacher head, not a consensus.

Study designQualitative
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
Published2011
Admission routes1
Has abstractyes

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