The Architecture and Decoration of the Gulistan Palace: The Aims and Achievements of Fath <sup>ᶜ</sup>Ali Shah (1797-1834) and Nasir al-din Shah (1848-1896)
Bibliographic record
Abstract
“To a stranger, possibly also to a native, the most interesting portion of Teheran is the great quadrilateral, containing the Ark or Citadel, and occupying a space of probably nearly a quarter of a mile square on the southern side of the Tup Meidan. Since the demolition of the old town there is nothing in the appearance of this enclosure to identify it with a citadel in the ordinary acceptation of the term; for, although it is surrounded by mud walls, it is in no sense fortified, and is now merely a vast collection of courts, gardens, and buildings, the greater part of which appertain to the Royal Palace. Let me, therefore, attempt to give some description of the latter, so far as its somewhat haphazard and unmethodical interior arrangements will admit. Parts of the building remain in exactly the same state as they were, when viewed in the opening years of the century by the successive envoys of the British and Indian governments. But the major part of the enclosure does not now answer to their description and has been so much altered by the reigning Shah in the reconstruction of the past twenty years, as to need a fresh historian.”
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".