Bibliographic record
Abstract
I s liberty compatible with equality? Following out the strategy proposed in the general introduction, I will seek to answer this question by starting with the libertarian's own ideal of negative liberty and then try to show that that ideal, when correctly interpreted, leads to substantial equality. I will then turn to an examination of other arguments that have sought to support similar conclusions and explain why those arguments are not as effective as my own. Finally, I will consider the main objections to my argument that have been raised by libertarians and my replies to those objections, where I will take up, in particular and at length, Jan Narveson's own objections to my argument from liberty to equality. The practical requirements of liberty From liberty to welfare Libertarians like to think of themselves as defenders of liberty. F. A. Hayek, for example, sees his work as restating an ideal of liberty for our times. “We are concerned,” says Hayek, “with that condition of men in which coercion of some by others is reduced as much as possible in society.” Similarly, John Hospers believes that libertarianism is “a philosophy of personal liberty – the liberty of each person to live according to his own choices, provided that he does not attempt to coerce others and thus prevent them from living according to their choices.”
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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.038 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".