Bibliographic record
Abstract
It has been now more than a quarter of a century since the publication of Roger Savory's Iran Under the Safavids (Cambridge, 1980). Andrew J. Newman's study aims to provide a new and up-to-date overview on the state-of-art of Safavid studies, reflecting the results of the extensive research that have been achieved since the Iranian revolution. Quantitatively speaking, the book is not overly voluminous; roughly 130 pages of narrative are complemented with approximately the same extent of pages containing notes and two appendices, the first providing a basic chronological overview, the second a chronologically ordered bibliography of editions, and when available, translations of key chronicles and travelogues. For the period 1628 to 1642 one might add here the German translation by Gerhard Rettelbach of Muḥammad Maʾṣūm al-Iṣfahānī's Hulāsat al-siyar (Gerhard Rettelbach, Khulāsat as-siyar. Der Iran unter Schah Ṣafī (1629–1642) nach der Chronik des Muḥammad Maʿṣūm b. Huāğagī Iṣfahānī, Munich: Trofenik, 1978).
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".