Bibliographic record
Abstract
Let me start by saying how significant it is for me to take part in this conference commemorating and celebrating Stanley Cavell. I am grateful to Cathleen Cavell and Richard Moran for this opportunity, not only to speak, but mainly to listen to dear friends, friends whose companionship was indelibly marked by our common love for Stanley, by the admiration for his thinking, and by the inspiration and sustenance he provided for our own work. What I will say will be inflected by the way Stanley touched my life and work. I must apologize therefore for having to speak, in the short and precious time I have, also a bit about myself. As I wrote these remarks I thought that I will most likely not be the only one to choose to speak of the ideal, the paradigm of the unity of person and thought that is Stanley Cavell. It is what was so striking to me when I first encountered him; it also became central to my dissertation project with him, and it remains to this day that through which I think of his continuous presence in my concerns with philosophy.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.061 | 0.017 |
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".