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Record W1533503447 · doi:10.1162/002219502320815569

<i>The Tribute of Blood: Army, Race, and Nation in Brazil, 1864–1945</i>. By Peter M. Beattie (Durham, Duke University Press, 2001) 390 pp. $54.95 cloth $18.95 paper

2002· article· en· W1533503447 on OpenAlexaffabout
Hendrik Kraay

Bibliographic record

VenueThe Journal of Interdisciplinary History · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary history and social perspectives
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTributeIconCitationSpecial collectionsHistoryLibrary scienceArt historyMedia studiesSociologyComputer science

Abstract

fetched live from OpenAlex

January 01 2003 The Tribute of Blood: Army, Race, and Nation in Brazil, 1864–1945 The Tribute of Blood: Army, Race, and Nation in Brazil, 1864–1945. By Peter M.Beattie (Durham, Duke University Press, 2001) 390 pp. $54.95 cloth $18.95 paper Hendrik Kraay Hendrik Kraay University of Calgary Search for other works by this author on: This Site Google Scholar Author and Article Information Hendrik Kraay University of Calgary Online ISSN: 1530-9169 Print ISSN: 0022-1953 © 2002 Massachusetts Institute of Technology and The Journal of Interdisciplinary History, Inc.2002 The Journal of Interdisciplinary History (2003) 33 (3): 505–507. https://doi.org/10.1162/002219502320815569 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn Email Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Hendrik Kraay; The Tribute of Blood: Army, Race, and Nation in Brazil, 1864–1945. The Journal of Interdisciplinary History 2003; 33 (3): 505–507. doi: https://doi.org/10.1162/002219502320815569 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThe Journal of Interdisciplinary History Search Advanced Search This content is only available as a PDF. © 2002 Massachusetts Institute of Technology and The Journal of Interdisciplinary History, Inc.2002 Article PDF first page preview Close Modal You do not currently have access to this content.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.175
Threshold uncertainty score0.349

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0540.010

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 head0.019
GPT teacher head0.258
Teacher spread0.240 · 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

Citations0
Published2002
Admission routes2
Has abstractyes

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