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Immigrant and Indigene

2022· book-chapter· en· W4391083405 on OpenAlexaboutno aff
Andrea Geiger

Bibliographic record

VenueUniversity of North Carolina Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationIndigenousSettlement (finance)Gender studiesGovernment (linguistics)Political scienceEthnologyGeographySociologyLaw

Abstract

fetched live from OpenAlex

Chapter 2 considers ways in which both Indigenous people and Japanese migrants responded to the shifting legal, cultural and legal landscape that followed the formal incorporation of the north Pacific borderlands by Canada and the United States. At times, members of both groups engaged in complex acts of repositioning that took into account ways in which race-based legal restrictions in Canada and the US structured constraint or opportunity within their own borders. Examples include the Tsimishian who relocated to from Metlakatla, B.C. to New Metlakatla, Alaska in response to the B.C. government’s refusal to recognize Aboriginal title in B.C., only to be caught in the gap between ‘immigrant’ and ‘indigene’ in the United States. Also a telling example is that of Jujiro Wada, a Japanese immigrant with ties to both Alaska and the Yukon, who was forced to redefine himself on each side of the US-Canada border given the differing sets of racial barriers Japanese immigrants confronted in each. While Japanese immigrants shared certain attitudes with their Euro-American and -Canadian neighbors, viewing the land as empty and open to settlement, their encounters with Indigenous people were also shaped by perceptions of indigeneity rooted in Japanese history and culture.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.990
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.017
GPT teacher head0.203
Teacher spread0.186 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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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