Bibliographic record
Abstract
in justice is every virtue comprehended (Aristotle, Nicomachean Ethics 108) justice : Never worry about it law (the) : Nobody knows what it is written : “Well written”: a hall-porter's encomium, applied to the newspaper serial he finds entertaining (Gustave Flaubert, The Dictionary of Accepted Ideas 55, 58, 91) Flaubert's mockery of bourgeois indifference to justice and legality contrasts his own devotion to justice as the supreme literary value, the virtue in which all others are comprehended. The just word – le mot juste – is a phrase expressing his ideal of linguistic precision associated with painstaking craft seeking exactly the right word to express exactly the right idea to convey exactly the right impression to his readers. Writing well, he claimed, is more than a matter of verbal felicity, although felicity is its reward. “[ T ] o write well is everything,” a writer's first duty, he told George Sand (Flaubert, Letters 2.231), but it is not an end in itself. Although he once proposed writing a book “about nothing, a book dependent on nothing external, which would be held together by the internal strength of its style” (1.154), his letters reveal that he was not satisfied with style for its own sake. It should be an avenue to illumination and “exaltation” (2.80). The wrong word is an affront not just to harmony, but to clear-sightedness and clear thinking. For the moment a thing is True, it is good…When I come upon a bad assonance or a repetition in one of my sentences, I'm sure I'm floundering in the False. […]
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.049 | 0.025 |
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".