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Lectures on Jurisprudence
Abstract
Smith's Lectures on Jurisprudence, originally delivered at Glasgow University in 1762-1763, presents his theory of the rules by which civil government ought to be directed. Building on his Theory of Moral Sentiments, Smith argues that the state must act as an impartial spectator, judging when an individual has been injured, Thus, regulations concerning trade, commerce, and production must be crafted so as to encourage rather than interfere with other productive capacities.
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Citations
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Metadata
- Authors
- Buchanan, J. M., Smith, A., Meek, R. L., Raphael, D. D., & Stein, P. G.
- Venue
- British Journal of Law and Society
- Publisher
- JSTOR
- Published
- 1979
- Volume
- 6
- Issue
- 1
- Pages
- 130
- ISSN
- 0306-3704 (ISSN-L)
- OpenAlex
- W1604508371
- Cited by
- 1,277
- References
- 0
- FWCI
- 19.64
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Lectures on Jurisprudence. https://app.cochat.ai/papers/10.2307/1409712
- The paper
- Buchanan, J. M., Smith, A., Meek, R. L., Raphael, D. D., & Stein, P. G. (1979). Lectures on Jurisprudence. British Journal of Law and Society. https://doi.org/10.2307/1409712
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
