Bibliographic record
Abstract
Let’s just run with it. The potentially instructive, because utterly naïve, thought experiment of entertaining for a moment that we have never been modern. Forget modernism—what if modernitynever happened?Not that we know what “modern” even means, except as an empty qualifier perched with pomp at the crest of history. Then again, that’s precisely the point. Modernity, like Walter Benjamin’s angel of history looking over its shoulder, has always been running from what it no longer wants to be, shouting “not that! not that!” And yet—and it’s a big yet —if we are becoming increasingly convinced by Bruno Latour, then not only were we never not medieval, but medieval no longer has to mean “premodern.” If Benja-min’s angel of modern history can’t stop looking back-ward and defining itself in opposition to what it sees as a sort of negative immanence (what, in the past, it fears and loathes), then perhaps “to be medieval,” as Andrew Cole and D. Vance Smith have put it, “is to posit a future in the very act of self-recognition, to offer a memory or memo-rial to a future that will be recognized at a time and place not yet known.”1 A future, that is, which positively trans-cends presence.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 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".