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2022· book-chapter· en· W4391084210 on OpenAlexaboutno aff
Andrea Geiger

Bibliographic record

VenueUniversity of North Carolina Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousIndex (typography)ChapelPublishingLawHistoryPolitical scienceArt history

Abstract

fetched live from OpenAlex

Extract © 2022 Andrea Geiger All rights reserved Set in Arno Pro by Westchester Publishing Services Manufactured in the United States of America The University of North Carolina Press has been a member of the Green Press Initiative since 2003. Library of Congress Cataloging-in-Publication Data Names: Geiger, Andrea A. E., author. Title: Converging empires : citizens and subjects in the north Pacific borderlands, 1867-1945 / Andrea Geiger. Other titles: David J. Weber series in the new borderlands history. Description: Chapel Hill : University of North Carolina Press, [2022] | Series: The David J. Weber series in the new borderlands history | Includes bibliographical references and index. Identifiers: LCCN 2021054799 | ISBN 9781469659275 (cloth ; alk. paper) | ISBN 9781469641140 (paperback ; alk. paper) | ISBN 9781469667843 (ebook) Subjects: LCSH: Alaska Natives—Legal status, laws, etc. | Indigenous peoples—Legal status, laws, etc.—Canada. | Foreign workers, Japanese—Legal status, laws, etc.—Canadian-American Border Region. | Alaska—History—1867-1959. | Canadian-American Border Region—History—19th century. | Canadian-American Border Region—History—20th century. | Canadian-American Border Region—Race relations. | British Columbia—History. | United States—Foreign relations. | Japan—Colonies—Boundaries.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.831
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.188
Teacher spread0.168 · 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 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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