Bibliographic record
Abstract
After setting out the importance of the notion of an international community in contemporary treaties, International Court of Justice judgments and opinio juris, this paper claims that we need to turn to Cicero's works in order to appreciate a sense of what an international community is. Cicero was the first jurist known to recognize and elaborate a theory of the international community and this through his concept of jus gentium. Cicero's theory of jus gentium, I argue, was neither a positivist theory nor a natural law theory. Instead, jus gentium dwelt in an intermediate position between posited state laws and the laws of nature. I find a problem, however, in that Cicero exempts certain types of society from the guidance and protection of the jus gentium. I document examples of the sort of society so exempted. In order to understand why Cicero exempts such societies from the protection of the jus gentium,I argue, Cicero's theory depends on a primordial condition where human beings, living an animal-like existence, lack a language and reason. Cicero posits that human beings must leap from such a primordial condition into a civilized world where language is shared. Cicero associates a civilized world with communication, deliberation, reason, and law, particularly the jus gentium. His theory of jus gentium thereby hierarchizes societies and begs that we ask whether such a hierarchy remains presupposed in contemporary international law and international legal theory.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.014 | 0.047 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".