Bibliographic record
Abstract
Abstract It is a great pleasure to introduce Michael Ignatieff’s lecture. If I had to sum up Michael in one word it would be ‘intellectual’. He is in fact one of our leading liberal intellectuals. Now ‘intellectual’ is a word viewed with some suspicion in Britain. It is regarded as strange and intrinsically foreign. I remember an obituary of Karl Popper, which began with the sentence, ‘Like most British intellectuals of his generation, Karl Popper was born in Vienna.’ Michael wasn’t born in Vienna. He was born in Canada. His education was initially in Canada, then in Cambridge (England), then Cambridge (Massachusetts). He was a Fellow of King’s College, Cambridge, and then became a freelance writer and an extremely well-known broadcaster. He held a number of visiting fellowships, not least the Alastair Horne Fellowship at St Antony’s College, Oxford, while he was writing his biography of Isaiah Berlin. He is currently at the Carr Center for Human Rights at the John F. Kennedy School at Harvard.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.039 | 0.005 |
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; both teacher heads 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".