Bibliographic record
Abstract
and you will know the truth, and the truth will make you free (John 8:32) truths are illusions of which one has forgotten that they are illusions…Art is with us in order that we may not perish through truth. (Nietzsche, “Truth” 694; Will 264) I began this study with le mot juste , Gustave Flaubert's pursuit of a literary style so precise that it would contribute equally to a justice of expression, thought, and judgment, each enhancing the others and all sustained by pleasure. The joyful companionship of truth, beauty, and virtue is an ideal perpetually sought but never quite found; indeed, Flaubert takes sardonic pleasure in its failure, which testifies to the banality of bourgeois culture. However, it also demonstrates his belief that literature is vitally important, because it can help to cure the ethical and intellectual malaise of his nation. Faith in the political value of literary language recurs with varying degrees of confidence in modern theory. It appears in Ezra Pound's complaint that in the modern republic “the health of the very matter of thought” is weakened when “the application of word to thing” becomes “slushy and inexact, or excessive or bloated” (Pound 21). It appears more cautiously in George Orwell's essay “Politics and the English Language,” where he warns that modern political discourse must be reformed, not just because it is sloppy but because it deliberately clouds judgment, making the most atrocious injustice seem normal.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.061 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".