Bibliographic record
Abstract
It takes any number of forms. Epigrams. Aphorisms. Fragments. Sayings. Dicta. Sententiae. Facetiae. Pearls of wisdom. Fractions of truth. Maxims. Definitions. Jottings. Miscellaneous musings. Meditations. Ricordi. Pensées. Ephemera. Miniatures. Sketches. Vignettes. Denkbilder. Capriccios. Tiny ‘fires without flames’ … In returning to these genres, MATCHES goes back to the drawing board of modern critique. It sets out to rekindle short-form literary-philosophical reflection, with roots in the Antiquity of Heraclitus and Hippocrates, apogee in the French moralistes (La Rochefoucauld, Pascal, Chamfort … ), and late splendour in German letters (Nietzsche, Kraus, Jünger … ). Moving from art and aesthetics to philosophies past and present, through natural and technological landscapes, beneath the constellations of politics, history and ethics, along the byways of contemporary literary culture — the slow reader with a little spare time will not fail to be struck.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.595 | 0.448 |
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".