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Record W2805646114 · doi:10.1093/ahr/rhab063

The Wiley Blackwell History of Islam

2021· article· en· W2805646114 on OpenAlexaff
Hatsuki Aishima, Hayrettín Yücesoy, R. Michael Feener, Osamu Otsuka, Satoshi Ogura, Kenji Kuroda, Hilary Kalmbach, Armando Salvatore

Bibliographic record

VenueThe American Historical Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsDominionScholarshipIslamHistoryHistory of IslamVariety (cybernetics)Order (exchange)ClassicsSociologyLawPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

In an effort to enliven the review section of the AHR, we have been experimenting with new ways of evaluating scholarship of all kinds. In a number of instances, we have asked several scholars to review a single book or film, in order to bring a variety of critical views to bear on issues of historical importance. Our April 2019 issue, for example, presented four distinctive reviews of Michael A. Gomez’s African Dominion; in the April 2020 AHR, four scholars offered critical appraisals of Adel Manna’s Nakba and Survival: The Story of the Palestinians Who Remained in Haifa and the Galilee, 1948–1956; most recently, the December 2020 issue featured four short essays on Jill Lepore’s widely read synthesis of American history, These Truths: A History of the United States. Here we group together seven distinctive reviews of The Wiley Blackwell History of Islam, itself...

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)0.003
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.005

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 head0.041
GPT teacher head0.298
Teacher spread0.257 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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