Bibliographic record
Abstract
Through the prism of criticism, the modalities of thinking form a spectrum: on one end, systematic exposition, on the other, the fragment. It is the latter, fragmentary approach that distinguishes Matches—an investigation that does not focus on a single theme developed in all its aspects but, rather, on a constellation of themes in art, literature, philosophy, science, social and political thought, as well as the human in relation to history and nature. The author pursues here in performative fashion her research into the history of critique from the Enlightenment onward. Her choice of the fragment—in the tradition of writing represented by Gracián, Chamfort, Lichtenberg, and, closer to us, Nietzsche, Adorno, and Benjamin—does not, however, stem from an attempt to comprehend the contemporary world, which can only be done after the fact. Instead, served by an expressive and incisive style, Matches foregrounds the necessary elements for a critique of our time, capturing them in their contradictory and complementary relations. It situates itself under the sign of the future, reviving the spirit of utopia, reminding us that the last word need not belong to the present.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.127 | 0.046 |
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".