Bibliographic record
Abstract
This chapter focuses on elaborations from the categories of the angelia - the herald’s proclamation of victory - that are so productive for epinikian verse. The angelia’s utility for epinikian song goes beyond simply reinforcing authority or justifying praise. While the epinikian singer was undoubtedly provided the “facts of identity," they do not dryly report these facts; moreover, in some cases they do not report the specific “facts” of the angelia at all. “Identity,” in epinikian song’s modification of the angelia, is a subjective category, and the “facts” that relate to the victor – name, father’s name, polis, festival, and event – are not set in stone but rather creatively reworked, sometimes reimagined, and sometimes made extremely complex, in the context of song and its performance. By replacing fathers and integrating family, spinning myths derived from the victor’s polis or the festival site, and using the details of athletic practice itself as a mode of praising, the epinikian singer uses the angelia to structure his song and praise his patron (or patrons).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.004 |
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".