Patterns in the Presentation of Discourse in the Charroi de Nîmes
Why this work is in the frame
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Bibliographic record
Abstract
The sobriety, not to say dreariness, of my title reflects the tedious attention which I am wont to accord to minutiae, but I trust you expect me to find some dazzling little gem therein, and I hope not to disappoint you.I will not claim to have known in advance that fastidious examination of any particular detail would lead to the discovery of beauties, but it is the case that the longer I work on the Charroi the more I find truly remarkable finesse in seemingly banal details. 1 Verses in which the narrator presents a character's speech are a case in point.It must be over twenty years ago that I began paying attention to such verses, without any clear notion of where they might lead.It was simply that, speech being a rather banal and frequent component of narrative, I had encountered a large number of occurrences of various types and found in them food for thought.Following a fairly straightforward line of analysis, for example, we can recognize degrees of amplification.The zero degree of realization, that is direct quotation without any verb of speech introducing it, tends to correspond to an acceleration or intensification of the narrative such as the heating up of an argument.The more or less base form uses the verb dire in the third person, present or preterit, or, at a slightly greater degree of information, the verb respondre.1 Integral to the presentation of this paper was the projection of various displays from the computer screen.The conversion to print has required eliminating much of the variety of display, but I have not tried to take out the chatty tone which I used to cover up the clumsiness inevitable when one is trying to keep one eye on the written text, another on the audience, a third on the keyboard, and a fourth on the screen at the front of the room.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it