Bibliographic record
Abstract
Inspired by a classical education, wealthy Romans populated the glittering interiors of their villas and homes with marble statuettes of ancestors, emperors, gods, and mythological figures. In The Learned Collector, Lea M. Stirling shows how the literary education received by all aristocrats, pagan and Christian alike, was fundamental in shaping their artistic taste while demonstrating how that taste was considered an important marker of status. Surveying collections across the empire, Stirling examines different ways that sculptural collections expressed not only the wealth but the identity of their aristocratic owners. The majority of statues in late antique homes were heirlooms and antiques. Mythological statuary, which would be interpreted in varying degrees of complexity, favored themes reflecting aristocratic pastimes such as dining and hunting. The Learned Collector investigates the manufacture of these distinctive statuettes in the later fourth century, the reasons for their popularity, and their modes of display in Gaul and the empire. Although the destruction of ancient artwork looms large in the common view of late antiquity, statuary of mythological figures continued to be displayed and manufactured into the early fifth century. Stirling surveys the sculptural decor of late antique villas across the empire to reveal the universal and regional trends in the late antique confluence of literary education, mythological references, aristocratic mores, and classicizing taste. Deftly combining art historical, archaeological, and literary evidence, this book will be important to classicists and art historians alike. Stirling's accessible writing style makes this an important work for scholars, students, and anyone with an interest in Roman statues of this era. Lea M. Stirling is Associate Professor of Classics at the University of Manitoba and holds a Canada Research Council Chair in Roman Archaeology. She co-directs excavations at the ancient city of Leptiminus, Tunisia.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.326 | 0.115 |
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".