Bibliographic record
Abstract
I AM HONORED TO BE HERE, with members of the Cavell family, with friends and with colleagues, to celebrate the life and work of Stanley Cavell, to whom I owe inestimably large debts of gratitude and whom I remember with the greatest affection and admiration. Cavell’s role in my life was that of a philosophical parent. He is well known to have held that “philosophy is the education of grownups,” and the sort of parenting I am talking about involved opening the door of philosophy for my young adult self. This was not a matter of induction into a theoretical research program of the type that then already dominated academic philosophy. Cavell’s way was to prompt students to confront and interrogate our own intellectual responses, leading us to ask “why we do what we do, judge as we judge,” and positioning us to think for ourselves. This is a demanding pedagogical enterprise, and Cavell devoted singular amounts of time and energy to supporting the young thinkers around him. What I am going to recount is the story of two extraordinary things that he did as my teacher, circumstances all the more arresting in that I was not officially his student.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.040 | 0.011 |
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".