Cairo—European Quarter—Modern Street Incongruities—When to See the Old City—the Bazaars—Native Quarters—Relics of Former Grandeur—Hotel Life—War Experiences—Museum Attractions—Palace of Gizeh—Alone with a Dead Civilisation—Debt to Egyptologists—Early Dwellings—Relics from Abydos.
Bibliographic record
Abstract
Egypt, like India, was for long the happy hunting-ground of irresponsible and unconscionable relic-hunters. Priceless statues and exquisite paintings, not altogether dissimilar in idea and execution to those found in old temples and tombs in Egypt, had been ruthlessly cut and defaced by vandal hands, just as many pyramid burial-places of the Pharaohs had been desecrated by Arab pilferers. Indeed, many of the most remarkable examples of resemblance between Egyptian and Indian temple structures, carving and mural decorations, date several centuries before the period of Alexander, their sites ranking, for historic value, with those of the supposedly more ancient civilisation of Egypt. The Gizeh Museum, with its almost bewildering collection of relics of the dead centuries, serves to again conjure up for us some of that land’s former marvels and fascinations. These mummies, wonderfully preserved in their manifold wrappings, almost as fresh as on the day that the bodies they enclose were committed to their sepulchres.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.115 | 0.019 |
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".