Temples and Towns in Roman Iberia: The Social and Architectural Dynamics of Sanctuary Designs from the Third Century B. C. to the Third Century A. D.
Bibliographic record
Abstract
This is the first comparative study of Roman architecture on the Iberian peninsula, covering six centuries from the arrival of the Romans in the third century B.C. until the decline of urban life on the peninsula in the third century A.D. During this period, the peninsula became an influential cultural and political region in the Roman world. Iberia supplied writers, politicians, and emperors, a fact acknowledged by Romanists for centuries, though study of the peninsula itself has too often been brushed aside as insignificant and uninteresting. In this book William E. Mierse challenges such a view. By examining in depth the changing forms of temples and their placement within the urban fabric, Mierse shows that architecture on the peninsula displays great variation and unexpected connections. It was never a slavish imitation of an imported model but always a novel experiment. Sometimes the architectural forms are both new and unexpected; in some cases specific prototypes can be seen, but the Iberian form has been significantly altered to suit local needs. What at first may seem a repetition of forms upon closer investigation turns out to be theme and variation. Mierse brings to his quest an impressive learning, including knowledge of several modern and ancient languages and the archaeology of the Roman East, which allows him a unique perspective on the interaction between events and architecture.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".