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Record W2499706816 · doi:10.1080/2325548x.2018.1471942

Alien Capital: Asian Racialization and the Logic of Settler Colonial Capitalism

2018· article· en· W2499706816 on OpenAlexaff
Wesley Attewell, Michelle Daigle, Genevieve Alva Clutario, May Farrales, Stevie Ruiz, Christine Noelle Peralta, Dory Nason, Iyko Day

Bibliographic record

VenueThe AAG Review of Books · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsFirst Nations University of CanadaUniversity of Northern British ColumbiaUniversity of British ColumbiaUniversity of Toronto
Fundersnot available
KeywordsRacializationAlienCapitalismColonialismCapital (architecture)Index (typography)SociologyAnthropologyMedia studiesHistoryEconomic historyGender studiesPolitical scienceRace (biology)Ancient historyDemographyArchaeologyLawPolitics

Abstract

fetched live from OpenAlex

Iyko Day. Durham, NC: Duke University Press, 2016. x and 256 pp., illustrations, notes, bibliography, index. $24.95 paper (ISBN 978-0-8223-6093-3); $94.95 cloth (ISBN 978-0-8223-6079-7).At the turn...

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)0.002
metaresearch head score (Gemma)0.003
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: Review · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.025
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.291
Teacher spread0.278 · 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
GenreReview

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

Citations68
Published2018
Admission routes1
Has abstractyes

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