Bibliographic record
Abstract
Contents: Preface Part I General: Astronomical instruments between East and West. Part II The Earliest European Astrolabe: The earliest known European astrolabe in the light of other early astrolabes. Part III An Astrolabe Featuring a Remarkable Number Notation: Rewriting history through instruments: the secrets of a medieval astrolabe from Picardy. Part IV More Individual European Astrolabes: The medieval Catalan astrolabe of the Society of Antiquaries, London (co-authored with Kurt Maier) A remarkable Italian astrolabe from ca. 1300 a witness to an ingenious tradition of non-standard astrolabes An astrolabe from Einbeck datable ca. 1330. Part V Astrolabe Stars: The star-names on three 14th-century astrolabes from Spain, France and Italy. Part VI Universal Horary Devices: A vetustissimus Arabic text on the quadrans vetus 14th-century England or 9th-century Baghdad? New insights on the elusive astronomical instrument called the Navicula de Venetiis. Part VII Two Renaissance Astrolabes: The astrolabe depicted in the intarsia of the studiolo of Archduke Frederico in Urbino The astrolabe presented by Regiomontanus to Cardinal Bessarion in 1462 (co-authored with Gerard L'E. Turner). Part VIII An Aid to Future Research: An ordered list of European astrolabes up to ca. 1500 Index.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.006 |
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".