Bibliographic record
Abstract
Abstract This paper focusses on colour terminology as a tool for achieving ἐνάργεια (pictorial vividness) in the Latin poetry of the first century c.e. After briefly outlining the developments in the concept of ἐνάργεια from Aristotle to Quintilian, the paper considers the use of Latin terms for black in three descriptive passages from Statius’ epic poem, the Thebaid. It is observed that the poet privileges the juxtaposition of the two adjectives ater and niger in a pattern of uariatio, where ater often carries a figurative meaning and repeats established poetic clichés, while niger is part of unparalleled collocations that evoke a material notion of blackness. Further analysis of the uariatio in the context of each passage reveals that the juxtaposition of the two-colour terms enhances the vividness of the objects described not only by increasing their chromatic impact but also by establishing connections with other parts of the poem, and by inviting a reflection on the competing practices of imitation and transgression of poetic models. The analysis of one stylistic feature (the use of colour terms in uariatio) shows that this stylistic feature is used by Statius for achieving ἐνάργεια as an artistic effect, for reflecting on ἐνάργεια as an instrument through which poetic models are challenged, and for tying his own poetic practice to contemporary rhetorical discussions.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".