The Sedition Act of 1798 and the Incorporation of Seditious Libel into First Amendment Jurisprudence
Bibliographic record
Abstract
Journal Article The Sedition Act of 1798 and the Incorporation of Seditious Libel into First Amendment Jurisprudence Get access David Jenkins, Attorney at Law (W. Va., Ohio); M.A. (History); M.A. (Pol. Sci.); LL.M.; D.C.L. David Jenkins, Attorney at Law (W. Va., Ohio); M.A. (History); M.A. (Pol. Sci.); LL.M.; D.C.L. Candidate *McGill University Institute of Comparative Law. The original version of this article was submitted as a thesis for the M.A. degree in history at Marshall University. The author is grateful to Prof. Donna Spindel for her supervision and to the Graduate College for its financial support. Search for other works by this author on: Oxford Academic Google Scholar American Journal of Legal History, Volume 45, Issue 2, April 2001, Pages 154–213, https://doi.org/10.2307/3185366 Published: 01 April 2001
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 | 0.001 | 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 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".