The Wiley Blackwell History of Islam
Bibliographic record
Abstract
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...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".