Contractarian Libertarianism of Jan Narveson. Is It Still Libertarianism?
Bibliographic record
Abstract
This chapter aims at presenting and scrutinizing a contractarian approach to libertarianism, which has been proposed by a Canadian philosopher, Jan Narveson, known as the main proponent of so-called contractarian libertarianism. The chapter begins with the short introduction followed by “Assumptions,” discussing Narveson’s understanding of morality, his critique of Rawlsian methodology and his view on natural law and natural rights. Afterwards, “Social contract: justification, procedure, motives” presents such elements in the philosophy of Narveson as advantages of contractarianism, levels of the social contract and its status, as well as motives of parties being subject to the social contract. The third part, entitled “Critics vs. Narveson” touches on a critical discussion of the subject by other theorists (Tibor R. Machan, John T. Sanders, Leo Groarke). The last section, “Is the Contractarianism of Narveson Libertarianism?” presents the thesis that Narveson’s contractarianism is not a justified basis of libertarianism. Albeit he comes to conclusions agreeable to libertarianism, his philosophy is better labeled as laissez-faire.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".