Anthony Corbeill.<i>Sexing the World: Grammatical Gender and Biological Sex in Ancient Rome</i>.
Bibliographic record
Abstract
Anthony Corbeill has long been engaged in the anthropological investigation of the ancient Romans, and especially in the interrogation of their most alien cultural practices. His first book, Controlling Laughter: Political Humor in the Late Roman Republic (1996), explored Cicero’s theory and practice of humor in oratory from his elite metropolitan insider perspective rather than the conventional viewpoint of rhetorical handbooks. In Nature Embodied: Gesture in Ancient Rome (2004), he interrogated the significance of gestures in the contexts of prayer, mourning rites, and political invective, and drew together textual evidence to reconstruct the embodied materiality of Romans in a variety of spatial contexts. With Sexing the World: Grammatical Gender and Biological Sex in Ancient Rome, he extends his scope to analyze the correlation of biological sex with grammatical gender in the Latin language, Hellenistic Roman poetry, and descriptions of intersexual bodies and the unsexed gods of archaic Rome in a tour de force of philological, linguistic, anthropological, and historical research.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".