Bibliographic record
Abstract
Abstract Thucydides’ History is deeply committed to the conventional correlation in Greek thought between sight and knowledge. In the Methodology chapters (1.20-3), the histo- rian grounds his investigative project in visual metaphor: it is a work that has been construc- ted ‘out of the most manifest evidence’, which promises to reveal the ‘least visible’ but ‘truest cause’ of this war. In contrast, Thucydides is suspicious of the epistemological value of hearing, repeatedly denigrating the ‘alluring’ sounds of poetic and hearsay accounts of Greek history. In this paper, I argue that this critique extends also to other sounds in the History, and that Thucydides’ anxieties over audition are directly related to the prob- lematic relation he sees between sound, knowledge, and emotion. While visual perception provides the normative pathway to cognitive evaluation and rational emotional response, sounds have the capacity to short-circuit the evaluative process by circumventing cognition and eliciting unmediated affective responses in hearing subjects.
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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 | 0.007 | 0.016 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".