New perspectives on Judith Shklar
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In my conversations with students, I often end up asking if they have heard of Judith Shklar.Almost none of them have; she is rarely taught in undergraduate philosophy or politics departments, but she becomes known to many of us once we are a little older and wiser.My own PhD supervisor recommended that I read Shklar in the first weeks of my doctorate, and she has continued to shape and challenge my work ever since.Of course, Shklar has not been "ignored" or "forgotten," but she has remained a niche interest.Most know her for her famous essay "The Liberalism of Fear" (1989) in which she argues in favor of a liberalism centered around a summum malum, rather than a positive doctrine of justice or civic virtue.She is certainly not as wellcelebrated as the other great political theorists and philosophers of her time such as Isaiah Berlin, John Rawls, and Michael Walzer, all of whom she considered friends.
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.
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) | 0.002 | 0.002 |
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 it