Bibliographic record
Abstract
o say that the arts no longer occupy a central place in the North American mind is to state the obvious.Dreams fostered by commerce's romance with technology have long since supplanted the arts in North Americans' imaginations.Historical forces that arose in the Renaissance and acquired additional strength in the Enlightenment now have entered into an astonishingly unlikely association with novel authoritarian currents of our time, unleashed by another "awakening."Universities, by and large, have proven impotent in resisting these dire trends, and many of those who are charged with the responsibility of defending the life of the mind have shown themselves to be quislings.The limits of the social have been allowed to circumscribe understanding's reach.This is an age when academics for the most part don't read Plato, Virgil, Aquinas, Milton, or Spinoza (nor listen to J.S. Bach or Thomas Tallis)-and, what is worse, when academics condemn those among their colleagues who do, for being irrelevant.The ironies of history are legion.I remind myself of the fact when melancholy brings me to ponder the appalling conditions under which I began work on this volume-conditions that persisted nearly until I had completed it.The less said about those conditions, the better.However, a heart full of gratitude compels me to acknowledge the solace many afforded.Michael Snow, Jonas Mekas, and Stan Brakhage have all taken an interest in my writing and in my filmmaking.I wish that Stan Brakhage were here to read
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 | 0.007 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.342 | 0.237 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".