Bibliographic record
Abstract
Stanley Cavell—my mentor and good friend—died on June 19, 2018, a week before I sat down to revise this tribute to him. I first presented these words in Cavell’s presence at a 2017 workshop at Tufts University on “Changing Politics: Conversations with Stanley Cavell.” I was then concerned with a crucial political dimension of Cavell’s thought that even admiring readers of his work sometimes overlook. This topic strikes me as, if anything, even more pertinent now. Within a day of Cavell’s death, obituaries began to appear in the U.S. and abroad, and a common theme was Cavell’s astonishing breadth as a thinker. He was, different papers reported, as eloquent and engaging on topics as various as Emerson and Thoreau, movies from Hollywood’s “golden age,” Shakespeare, Wittgenstein and Austin, what he called “the fact of television,” Heidegger, Kleist, Kierkegaard, Hitchcock and Beckett. It is certainly true that Cavell had a great range. At the same time, as Nancy Bauer, Sandra Laugier and I observed in a post in the New York Times philosophy blog, The Stone, there is an important political thread running through Cavell’s explorations of his many topics and questions, namely, a preoccupation with what it is to be a responsible participant in a democratic polis and, specifically, a democratic polis as brutally and profoundly imperfect as the United States of America. Cavell’s commitment to liberating, democratic politics was reflected in his actions beyond his writings, with some of his political endeavors described in his autobiographical tome Little Did I Know and others recorded in the work of his students and friends.
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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 | 0.015 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.015 | 0.042 |
| Scholarly communication | 0.018 | 0.015 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.012 | 0.017 |
| Insufficient payload (model declined to judge) | 0.032 | 0.007 |
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".