Bibliographic record
Abstract
We live in an age when compendious volumes exercise an irresistible hold over publishers with, for example, series entitled 'The Complete', 'The World of' and, as here, Blackwell's 'Companions to'. The publisher offers a mission statement for the series (p. ii), that it provides 'sophisticated and authoritative overviews', written 'in a clear, provocative and lively manner, designed for an international audience of scholars, students, and general readers'. The army is one of the best-documented aspects of Roman society, especially for the early centuries AD, from a rich combination of literary, epigraphic, papyrological, sculptural, and archaeological evidence. Thus it is an easy topic to constitute a well-rounded survey in the 'Companions' series. The present volume, under the general editorship of Dr. Paul Erdkamp, has brought together twenty-nine contributors, based in Australia, Austria, Britain, Canada, Germany, Netherlands, Republic of South Africa, and the United States. Each contributor was allocated a little under twenty pages, with a bibliography, and (in all but a few cases) has provided suggestions for further reading. The chapters cover a time-period of some 1300 years, from the early republic to the late empire and beyond, down to the reign of the emperor Justinian.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".